Survey Info

Summary

The ABS collects data on research and development (for businesses with one to nine employees), innovation, technology, intellectual property, and business owner characteristics, with additional rotating content that changes from year to year.

Areas of Interest

Survey Administration

The ABS is cosponsored by the National Center for Science and Engineering Statistics within the U.S. National Science Foundation and the Census Bureau.

Survey Details

Status Active
Frequency Annual
Reference Period Calendar year 2022
Next Release Date October 2025

Methodology

Survey Description

Survey Overview (2023 Survey Cycle: Data Year 2022)

Purpose

The Annual Business Survey (ABS) is the primary source of information on research and development (R&D) expenditures for nonfarm, for-profit, businesses operating in the United States with one to nine employees. The ABS also collects data on innovation-related data, globalization, and business owner characteristics from nonfarm, for-profit, businesses operating in the United States with at least one employee.

Data collection authority

The National Science Foundation Act of 1950, as amended, and the America COMPETES Reauthorization Act of 2010; collected under Office of Management and Budget control number 0607-1004, expiring 31 May 2025. The disclosure review number is NCSES-DRN24-040.

Major changes to recent survey cycle

Modules on Financing, Technology and Intellectual Property, and Sustainability and Climate Impact were added. Modules on Design and Intellectual Property and on Domestic and Foreign Transaction Coronavirus Pandemic Impact on R&D and Business Activities were removed. Some of the questions removed may return in future questionnaires. New questions were added on moving production to the United States. The field of study question options were revised. An expanded module on innovation was included.

Key Survey Information

Frequency

Annual.

Initial survey year

Calendar year 2017; for innovation, the reference period was 2015–17.

Reference period

Calendar year 2022; for innovation, the reference period was 2020–22.

Response unit

All nonfarm businesses in the United States.

Sample or census

Sample survey of for-profit companies with a U.S. presence engaged in the mining, utilities, construction, manufacturing, wholesale trade, retail trade, or services industries.

Population size

Approximately 4,900,000 employer businesses.

Sample size

In 2017 and every fifth year thereafter, the ABS sample size is approximately 850,000 employer businesses. In other years, the ABS sample size is about 300,000 employer businesses.

Key variables

Key variables of interest are listed below.

  • R&D performance
  • Total and R&D employment
  • Sources of R&D funding
  • Type of R&D work (basic research, applied research, and development)
  • Type of R&D cost (e.g., salaries, wages, and fringe benefits)
  • Sustainability and climate impact
  • Demographic and entrepreneurial characteristics of the business owner
  • Indicators of innovation
  • Technology and intellectual property
  • Financing

Survey Design

Target population

The target population consists of all for-profit nonfarm companies that are physically located in the United States, that have at least one establishment classified as being an in-scope sector based on the North American Industry Classification System (NAICS), and that was in business during the survey reference year and data collection period.

Sampling frame

The Business Register, maintained by the Census Bureau, is the source used to create the sampling frame for the ABS.

Sample design

The ABS has a systematic stratified sampling design that uses simple random sampling within strata. Stratification is based on the NAICS industry code. Companies were selected with certainty if they are known R&D performers with one to nine employees, have 500 or more employees, or meet sampling stratum-specific cutoffs for receipts and payroll.

Data Collection and Processing

Data collection

The ABS collects data electronically.

Data processing

All data submitted by respondent companies are reviewed to ensure that data fields are complete and that data are internally consistent. Survey responses often include errors that require correction or unusual patterns that require validation. Automated edit checks are applied to improve the efficiency of data review and correction. Edit checks are designed to catch arithmetic errors and logically inconsistent responses (balance edits). The remaining automated edit checks are designed to flag outliers for further review (analytical edits). If additional information or data corrections are needed, respondents may be contacted to clarify or correct data. If additional information or corrected data cannot be obtained from respondents, data are imputed.

Estimation techniques

Estimates are produced from sums of weighted data (reported or imputed). Exceptions are described in detail in the annual reports containing data tables.

Survey Quality Measures

Sampling error

Estimates of sampling errors associated with the ABS data tables are available from the Survey Manager by request.

Coverage error

There can be both undercoverage error, where units are not included in the frame, and overcoverage error, where units included in the frame are out of scope for the population of interest. The ABS uses the prior-year Business Register to construct the frame, so any changes in businesses that would change the inclusion or exclusion of the business to the survey scope could be sources of coverage error. Prior to tabulation, survey units’ information is updated with the most recently available Business Register data to mitigate this source of error.

Nonresponse error

Unit nonresponse is done by adjusting weighted reported and imputed data by multiplying each company's sampling weight by a nonresponse adjustment factor. Detailed descriptions of the adjustments for nonresponse are available in the ABS data tables (https://ncses.nsf.gov/surveys/annual-business-survey/).

Measurement error

Expected sources of measurement error include differences in respondent interpretations of the definitions of R&D activities and differences in how companies count and report numbers of employees in various categories, including whether they work on R&D full time or part time. Although quantitative metrics of measurement error are not available, there are ongoing efforts to minimize measurement error, including questionnaire pretesting, improvement of questionnaire wording and format, inclusion of more cues and examples in the questionnaire instructions, in-person and telephone interviews and consultations with respondents, and post-survey evaluations.

Data Availability and Comparability

Data availability

Data produced from the ABS are available at https://ncses.nsf.gov/surveys/annual-business-survey/.

Data comparability

The ABS is a cross-sectional survey designed to produce annual estimates of R&D performance and related statistics. Some estimates from the ABS may not be directly comparable to prior ABS results due to changes in survey methodology. Sources of possible incomparability include changes to questionnaire wording and instructions, changes to data editing and tabulation, and changes to imputation and nonresponse adjustments. See the “Data Comparability” section in the Technical Notes for specific information about changes for the current iteration of the survey.

Data Products

Publications

ABS data are published in NCSES InfoBriefs and data table reports available at https://ncses.nsf.gov/surveys/annual-business-survey/.

Electronic access

Results from this survey are available on the NCSES website. The ABS contains confidential data that are protected under Title 13 and Title 26 of the U.S. Code. Restricted microdata will be available at any of the 15 secure Research Data Centers administered by the Center for Economic Studies (CES) at the Census Bureau. Researchers interested in accessing microdata can apply for a restricted-use license by submitting a proposal to the CES, which evaluates proposals based on their benefit to the Census Bureau, scientific merit, feasibility, and risk of disclosure. To learn more about the Research Data Centers and how to apply, please visit the CES page on research opportunities. For additional information about the application process, including how to initiate a project, please contact the administrator at the primary site where the research will be conducted. Per the Federal Cybersecurity Enhancement Act of 2015, the data are protected from cybersecurity risks through screening of the systems that transmit the data.

 

Technical Notes

Survey Overview (2023 Survey Cycle: Data Year 2022)

Purpose. The Annual Business Survey (ABS) provides information on selected economic and demographic characteristics for businesses and business owners by sex, ethnicity, race, and veteran status. Further, the survey measures research and development (R&D) for microbusinesses, business topics, such as innovation and technology, and other business characteristics. The ABS is conducted jointly by the Census Bureau and the National Center for Science and Engineering Statistics (NCSES) within the U.S. National Science Foundation (NSF). The ABS replaces the quinquennial Survey of Business Owners for employer businesses, the Annual Survey of Entrepreneurs, the Business R&D and Innovation for Microbusinesses Survey, and the Innovation section of the Business R&D and Innovation Survey.

The ABS is designed to incorporate new and sometimes returning content each survey year based on topics of relevance. For the 2023 ABS, content includes company information, owner characteristics, R&D, technology and innovation, financing, and management practices. The ABS also collects various data regarding business owners, such as sex, ethnicity, race, veteran status, and other business owner demographic data. R&D data are collected on the ABS for businesses with a W-2 employment range between one and nine employees.

Data collection authority. Title 13, U.S. Code, Sections 8(b), 131, and 182; Title 42, U.S. Code, Sections 1861–76 (National Science Foundation Act of 1950, as amended); and Section 505 within the America COMPETES Reauthorization Act of 2010, authorize this collection. Sections 224 and 225 of Title 13 require mandatory response. Office of Management and Budget (OMB) control number 0607-1004, expiring 31 May 2025. The disclosure review number is NCSES-DRN24-040.

Survey sponsor. NCSES.

Survey collection and tabulation agent. The survey is conducted annually by the Census Bureau in accordance with an interagency agreement with NCSES.

Key Survey Information

Frequency. Annual.

Initial survey year. Calendar year 2017; for innovation, the reference period was 2015–17.

Reference period. Calendar year 2022; for innovation, the reference period is 2020–22.

Response unit. Nonfarm businesses in the United States.

Sample or census. Sample.

Population size. A total of 4.9 million employer firms; approximately 494,000 firms with one to nine employees and in North American Industry Classification System (NAICS) industries 31–33 (manufacturing), 42 (wholesale trade), 51 (information), 5413 (architectural, engineering, and related services), 5415 (computer systems design and related services), or 5417 (scientific research and development services) were in scope for the R&D module.

Sample size. In 2017 and every fifth year thereafter, the ABS sample size is approximately 850,000 employer businesses. In other years, the ABS sample size is about 300,000 employer businesses.

Survey Design

Target population. Included are all nonfarm businesses filing Internal Revenue Service (IRS) tax forms as individual proprietorships, partnerships, or any type of corporation and with receipts of $1,000 or more. The target population included only companies that had paid employees according to the IRS Form 941 that covered 12 March 2023, are classified in an in-scope NAICS industry, were physically located in the United States, and were in business at the end of calendar year 2022. The ABS covers firms with paid employees only. The ABS is conducted on a company or firm basis rather than an establishment basis.

Sampling frame. The sampling universe was constructed from the final 2021 Business Register. The Business Register is the Census Bureau’s comprehensive database of U.S. businesses. Business Register data are compiled from a combination of business tax returns, data collected from the economic census, and data from other Census Bureau surveys. The Business Register includes sole proprietorships, partnerships, and corporations reporting business activity to the IRS on any one of the following IRS tax forms: 1040 (Schedule C), “Profit or Loss from Business” (Sole Proprietorship); 1065, “U.S. Return of Partnership Income”; 941, “Employer’s Quarterly Federal Tax Return”; 944, “Employer’s Annual Federal Tax Return”; or any one of the 1120 corporate tax forms.

The Business Register contains establishments that are out of scope for the ABS sample. These establishments are removed from the sampling universe. They include the following:

  • Establishments engaged in the following NAICS industries:
    • 111 or 112: Agriculture production
    • 482: Railroads
    • 491: Postal Service
    • 521: Monetary authorities—central bank
    • 525: Funds, trusts, and other financial vehicles
    • 541120: Offices of notaries
    • 813: Religious, grantmaking, civic, professional, and similar organizations
    • 814: Private households
    • 92: Public administration
  • Unclassified NAICS industries with legal form of organization as tax-exempt or unknown
  • Establishments located in American Samoa, Northern Mariana Islands, Guam, Puerto Rico, or the U.S. Virgin Islands
  • Establishments belonging to foreign entities
  • Government establishments
  • Establishments with zero payroll and zero employment
  • Establishments identified as out of business during prior-year data review
  • Single-unit establishments modeled as likely to be out of business using administrative data from the most recent monthly Business Register data sets

Information on industry classification, receipts, payroll, and employment was extracted from the Business Register during the frame construction.

The sample is also designed to estimate demographic characteristics of the business owners. To efficiently sample for demographic characteristics, a variety of sources of information are used to estimate the likelihood that a business is a woman- or minority-owned business. Administrative sources include the Decennial Census, the American Community Survey (ACS), and the Numident file, which is the Social Security Administration’s comprehensive database of information from Social Security applications. Individual business owners are identified through IRS K-1 filings for partnerships and corporations and from the Business Register for sole proprietorships. The owners are matched to the 2000 and 2010 Decennial Censuses to get race, sex, and ethnicity data; to the 2000–20 ACS; and to the Numident file (in that order) through a Protected Identification Key. Country of birth is also identified through the linkages to the ACS or Numident data. Each firm is then placed in one of the following eight strata for sampling: American Indian or Alaska Native, Asian, Black or African American, Hispanic, non-Hispanic White men, Native Hawaiian and Other Pacific Islander, publicly owned, and women owned. Businesses are assigned to one and only one stratum, with priority given to the less common race or ethnicity groups.

Sample design. The ABS frame is stratified by state, expected owner race or ethnicity, and industry and is systematically sampled within each stratum. A standard type of estimation for stratified systematic sampling is used. Large companies were selected with certainty based on volume of sales, payroll, or number of paid employees. Certainty cases have a selection probability of 1, a sampling weight of 1, and represent only themselves. Specifically for the 2023 ABS, firms were selected with certainty based on the following criteria:

  • Firms in NAICS 5415 or 5417 with expected employment of fewer than 10 employees that reported at least $500,000 in R&D expenses in a prior year ABS,
  • Firms in NAICS 5413, 31, 32, 33, 42, or 51 with expected employment of fewer than 10 employees that reported at least $50,000 in R&D expenses in a prior year ABS,
  • Firms with more than 500 employees,
  • Firms in the 2022 Business Enterprise Research and Development (BERD) Survey sample, or
  • Firms larger than stratum-specific payroll and receipt cutoffs.

The certainty cutoffs vary by sampling stratum, and each stratum is sampled at varying rates, depending on the number and size of firms in a particular stratum.

The remaining frame is subjected to stratified systematic random sampling. Sampling rates vary by strata and are determined by the following calculations. Note that a systematic sample uses take rate to sample, and the sampling rate is 1 / take rate.

The ABS sample consisted of 850,000 businesses. There were 184,000 selected with certainty. The certainty portion of the sample consisted of the following:

  • 6,500 with sufficient R&D expenses in previous cycles of the ABS,
  • 16,000 with employment ≥ 500,
  • 38,000 in the BERD Survey sample,
  • 91,000 with payroll above the stratum cutoff, and
  • 32,500 with receipts above the stratum cutoff. (Note that payroll cutoffs are applied first so cases above both cutoffs appear in payroll count.)

The remaining 666,000 noncertainty cases were selected using the systematic stratified random sample selection. The maximum sample weight was 30.

Data Collection and Processing Methods

Data collection. Prior to mailing the survey, certain businesses selected were determined to be out of scope and were not contacted. The survey was mailed to 850,000 employer businesses in July 2023. Businesses were sent a letter informing them of their requirement to report. The letter also provided instructions on how to access the survey and submit online. Three mail follow-ups were conducted to increase response. Additionally, the Census Bureau conducted e-mail follow-ups to respondents who entered the electronic system but did not submit the questionnaire. The collection period closed in December 2023.

Mode. The 2023 ABS was collected using the electronic instrument.

Check-in rate. The check-in rate is defined as the unweighted number of surveys that were submitted online by in-scope companies, divided by the unweighted total number of all in-scope companies in the sample. Response to individual questions did not factor into this metric. At the close of the collection period in December 2023, 490,000 responses were submitted (58% of the sample).

An additional 1,854 businesses contacted the Census Bureau via the call center to indicate that the business was no longer in operation or had been sold for the reference year.

Businesses selected to report R&D represented 24% of those mailed. Of the businesses mailed and selected to report R&D, 122,000 businesses (or 60%) submitted responses.

Unit response rate (URR). The URR is the unweighted number of responding companies for the survey. For the ABS, response is defined as a company providing the number of owners, number of paid owners, and number of employees or a company responding that it ceased operations prior to 2022.

For the ABS, the URR was 62.0%. The URR for businesses eligible to report the R&D module was 63.1%.

Item response rates (IRR). The 2023 ABS collected data on approximately 650 variables, and the distribution of values reported by sample companies is highly skewed. Thus, rather than report unweighted item response rates, total quantity response rates are calculated, which are based on weighted data. The survey skip patterns vary for respondents; therefore, it can be impossible to know an exact denominator for item response calculations.

Total quantity response rate (TQRR). For a given published estimate other than count or ratio estimates, TQRR is the percentage of the weighted estimate based on data that were reported by units in the sample or on data that were obtained from other sources and were determined to be equivalent in quality to reported data and weighted only by sampling but not nonresponse weights. The TQRR for total sales in the United States in 2022 was 68.2%.

Total quantity nonresponse rate (TQNR). For a given published estimate, TQNR, defined as 100% minus TQRR, is calculated for each tabulation cell from the ABS, except for cells that contain count or ratio estimates. TQNR measures the combined effect of the procedures used to handle unit and item nonresponse on the weighted ABS estimate. Detailed imputation rates are available on request.

Data editing. Prior to tabulating the data, response data were reviewed and edited to correct reporting errors. R&D data were tabulated for records reporting $50,000 or more in R&D expenditures.

Additionally, R&D data were only tabbed for records classified in the following NAICS industries:

  • 31–33: Manufacturing
  • 42: Wholesale trade
  • 51: Information
  • 5413: Architectural, engineering, and related services
  • 5415: Computer systems design and related services
  • 5417: Scientific research and development services

Survey analysts reviewed the R&D reported by the survey respondents. Research was done by evaluating the reported business descriptions, reported R&D-to-sales ratio, and company website information. The majority of corrections involved false-positive reports or data reported using incorrect units (such as whole dollars instead of thousands of dollars). For NAICS industries 5415 and 5417, it is difficult to differentiate R&D from other technical work based solely on company website information. Due to this difficulty and the large number of companies sampled in these industries, it was not feasible to review each case individually; thus, relatively few corrections were made for false-positive reports. Unlike years past, all cases in these industries that had greater than $50,000 in R&D expenses were reviewed.

Additional data errors were detected and corrected through mass corrections and an automated data edit system designed to review the data for reasonableness and consistency. The editing process interactively performed corrections by using standard procedures to fix detectable errors. Quality control techniques were used to verify that operating procedures were carried out as specified.

Unit nonresponse. Unit nonresponse is handled by adjusting weighted reported data as follows. Each company’s sampling weight is multiplied by a nonresponse adjustment factor. To calculate the adjustment factors, each company in the sample that is eligible for tabulation is assigned to one (and only one) adjustment cell. The adjustment cells are based on employment size and NAICS sector. For employment size, there are five categories: 1–4 employees, 5–9 employees, 10–49 employees, 50–249 employees, and 250 or more employees. For a given adjustment cell, the nonresponse adjustment factor is the ratio of the sum of the sampling weights for all companies in the cell to the sum of the sampling weights for all companies in the cell with reported data. The nonresponse adjustment factor for adjustment cell h was calculated as follows:

The nonresponse adjustment factor for cell h is equal to the sum of weights for the respondents and nonrespondents in the cell divided by the sum of the weights for the respondents in the cell.

where

r is the respondents,

nr is the nonrespondents,

wgt is the original sampling weight value,

h is the nonresponse adjustment cell, and

NAFh is the nonresponse adjustment factor for cell h.

For the nonresponse adjustment, a business is considered a respondent if it provided the number of owners, number of paid owners, and number of employees. Businesses that responded they ceased operations prior to 2022 are excluded from nonresponse adjustments as out of scope.

Tabulation. Although as many firms as possible were identified as out of scope during sampling, additional out-of-scope firms were identified with either response or updated administrative data not available at the time of sampling. These 110,000 firms were removed for tabulations and include the following:

  • Firms reporting zero employment,
  • Firms that responded as having gone out of business before 2022,
  • Nonprofit organizations,
  • Firms that responded as being owned by a domestic parent company, and
  • Firms with unclassified NAICS industry.

Industry classification. The industry classifications of firms are based on the 2017 NAICS (https://www.census.gov/naics/). Firms with more than one domestic establishment are assigned a single-industry classification using a hierarchal system based on the largest payroll sector, largest payroll 3-digit NAICS (within the largest sector), largest payroll 4-digit NAICS (within the largest 3-digit), and largest payroll 6-digit NAICS (within the largest 4-digit). For tabulation, industry classification was based on administrative data for 2017.

Geography. Firms with establishments operating in more than one state are tabulated as unclassified geography and counted only once in state and national totals.

Variance estimation. The ABS uses the delete-a-group jackknife variance estimator. Note that certainty cases do not contribute to the sampling variance. The delete-a-group jackknife variance estimator requires that every sampling stratum contains at least two sampled firms. Sampling strata that do not meet this requirement are collapsed as needed to create a new set of variance estimation strata that satisfies this requirement.

Data tables showing relative standard errors are available on request from the Survey Manager.

Survey Quality Measures

The estimates produced from the ABS are subject to both sampling and nonsampling errors.

Sampling error. The sampling error is described above in the “Variance estimation” section.

Coverage error. Coverage error occurs when the frame fails to completely enumerate the population of interest. There can be both undercoverage error, where units are not included in the frame, and overcoverage error, where units included in the frame are actually out of scope for the population of interest. The ABS uses the prior-year Business Register to construct the frame, so any changes in businesses that would change the inclusion or exclusion of the business to the survey scope could be sources of coverage error. Prior to tabulation, survey units’ information is updated with the most recent available Business Register data to mitigate this source of error.

Nonsampling error. All surveys and censuses have nonsampling errors. Nonsampling errors are attributable to various sources, such as the inability to obtain information for all cases in the universe, imputation for missing data, data errors and biases, mistakes in recording or keying data, errors in collection or processing, and coverage problems.

Although explicit measures of the effects of these nonsampling errors are not available, adjustments are made to the published relative standard errors to account for errors associated with imputation of missing data. It is believed that most of the important operational and data errors were detected and corrected through an automated data edit designed to review the data for reasonableness and consistency. Quality control techniques were used to verify that operating procedures were carried out as specified.

Measurement error. The most common source of measurement error was reporting in different units (e.g., reporting whole dollars rather than thousands of dollars). Variations in respondent interpretations of the definitions of R&D activities are of particular concern, and error can occur when respondents do not report dollar amounts correctly. Little public information exists for most of the small businesses surveyed by the ABS, so it is difficult to determine whether companies are reporting R&D that satisfies the survey's definitions, particularly where the development of software and Internet applications are concerned. Although no metric of measurement error is produced, ongoing efforts to minimize measurement error include questionnaire pretesting, improvement of questionnaire wording and format, inclusion of more cues and examples in the questionnaire instructions, telephone interviews and consultations with respondents, and post-survey evaluations.

Data Comparability

Some estimates from the 2023 ABS may not be directly comparable to prior ABS results due to changes in survey methodology. Sources of possible incomparability include changes to questionnaire wording and instructions, changes to data editing and tabulation, and changes to imputation and nonresponse adjustments.

Changes in survey coverage and population. The 2023 ABS target population was updated to more closely match the target population for the Census Bureau’s County Business Patterns program. This update excludes notaries and agricultural firms whose only payroll came from IRS Form 943.

Changes to questionnaire wording and instructions. The survey section that collected information on R&D from businesses (section D) had nearly identical question wording and instructions for both the ABS 2022 and the ABS 2021 questionnaires. The 2023 ABS collected additional detail from businesses on the location of R&D performance and explicitly highlighted the concept of “domestic R&D performance.” For the 2023 ABS, detailed questions about R&D expenditures (types of costs, funding sources, and R&D categories) were tied to domestic R&D performance (a subset of total R&D costs), whereas previous ABS questionnaires asked similar questions tied to total R&D costs.

In addition, the following are survey changes in the questionnaire from ABS 2022 to ABS 2023; question number references are in reference to the ABS 2023:

  • New question: A.13 Moving Production to U.S. in 2022
  • New question: A.14 Reasons for Moving Production to the U.S. in 2022
  • New and revised question options: B.11 Field of Highest Degree (applies to all 4 owners when applicable)
    • Biological, agricultural, and environmental life sciences changed to Biological / agricultural sciences and natural resources
    • Computer and mathematical sciences and other technology and technical fields changed to Computer sciences and mathematics
    • Earth, atmospheric, and ocean sciences changed to Geosciences, atmospheric, and ocean sciences
    • Health changed to Health sciences
    • Economics, political science, psychology, sociology, and other social sciences changed to Psychology and social sciences
    • Business management and administration fields was added
    • Law and legal studies was added
    • Management and administration fields was removed
    • Social service and related fields was removed
    • Public administration and social service and related fields was added
  • New and returning questions: E.5–E.8
  • Question E.9: Removed option “Develop customer-specific solutions (i.e., customized goods or services)”
  • New and returning questions: E.10–E.21
  • Replaced Section F: Financing (removed Design and Intellectual Property section)
  • Replaced Section G: Technology and Intellectual Property (removed Domestic and Foreign Transaction section)
  • Replaced Section H: Sustainability and Climate Impact (removed Coronavirus Pandemic Impact on R&D and Business Activities section)

Changes in reporting procedures or classification. There were no changes to reporting procedures or classification for data year 2022.

Changes to data editing and tabulation. For data collected in the R&D section of the ABS, every response with $50,000 or more in R&D costs was reviewed for reasonableness in 2023. For the 2023 ABS, all positive R&D cases were reviewed in industries with high rates of false-positive reports. Outside of the review for potential false-positive R&D cases, the editing of R&D data was performed similarly in 2021 and 2022. There have been no major changes to the edits from year to year.

Data collected in the innovation section of the ABS were edited similarly in 2020 and 2019, but the estimates for product innovation were tabulated differently in 2020 and 2019. For 2017, a business must have responded positively to both the product innovation question and the subsequent business product innovation question (new to market or new to business) to be considered a product innovator. For 2022 and 2023, only a positive response to the question regarding new or improved goods or services was required to be tabulated as a product innovator.

Changes in collection methods. During the 2023 ABS collection period, a single letter was mailed to respondents using Postal Service (USPS) Priority Mail. For the 2023 ABS, the third follow-up used First Class Mail. This was not a change from the 2022 ABS. For the 2021 ABS collection period, all initial and reminder letters were mailed to respondents using USPS. A paper questionnaire was discontinued during the 2021 ABS. All data are now collected electronically.

Definitions

Affiliated (company or business). An entity that is owned 10% or more (based on voting interest or an equivalent interest) directly or indirectly by your company.

Business processes. Business process includes the following: (1) methods for producing goods or providing services, (2) logistics, delivery, or distribution methods, (3) marketing methods or after-sales services, (4) information and communication systems, (5) administration and management activities, and (6) product and business process development (including activities to identify, develop, or adapt products or a firm’s processes).

Core production activity. This term refers to your primary business activities. For manufacturing companies, core production typically involves production of physical goods. For service companies and other companies, core production refers to the main services or activities provided by your business, such as information and communications technology services or marketing services.

Domestic or U.S. located. Refers to a location in any of the U.S. 50 states and the District of Columbia.

Employment. Paid employment consists of full- and part-time employees, including salaried officers and executives of corporations who were on the payroll in the pay period including March 12. Included are employees on sick leave, holidays, and vacations; not included are proprietors and partners of unincorporated businesses.

Ethnicity. Based on OMB’s guidance, there are two minimum categories for ethnicity: Hispanic or Latino and not Hispanic or Latino. OMB considers race and Hispanic origin to be two separate and distinct concepts. Hispanics and Latinos may be of any race.

Exported goods. Value of goods, including the value of equipment, supplies, materials, etc. This should equal the amounts reported in the Automated Export System’s Electronic Export Information filed with Customs and Border Protection plus the cost of transporting the goods to customers located in foreign destinations (i.e., outside the United States).

Exported services. An exported service is a service-related product (i.e., services performed, including digital service, license agreement) that is sold or transferred to, or performed for, customers (individual, government, business establishment, etc.) located in foreign destinations (i.e., outside the United States).

Firm. A business organization or entity consisting of one or more domestic establishment locations under common ownership or control.

Foreign affiliate. A foreign affiliate is an entity located outside the United States that is owned at least 10% (based on voting interest or an equivalent interest) directly or indirectly by the U.S. reporter.

Foreign parent (of a U.S.-located business). The first entity outside the United States in an affiliate’s ownership chain that has a direct or indirect investment interest of more than 50% of the affiliate’s voting securities.

Goods. Usually a tangible object (such as a smartphone, furniture, or packaged software) but also includes digital goods (such as downloadable software, music, and film). Exclude the simple resale of new goods and changes of a solely aesthetic nature.

Imported goods. The value of goods purchased from customers located in foreign destinations (i.e., outside the United States) as indicated in import declarations filed with Customs and Border Protection.

Imported services. An imported service is a service-related product (i.e., service performed, including digital service, license agreement) that is purchased from customers located in foreign destinations (i.e., outside the United States).

Innovation. A business innovation is a new or improved product or business process (or combination thereof) that differs significantly from the firm’s previous products or business processes and that has been introduced on the market or brought into use by the firm.

Intellectual property. Includes patents, processes, and trade secrets; books and music; trademarks; recorded performances and events, such as radio and television programs and motion pictures; broadcast and recorded live performances and events and their content; general use computer software; franchise fees; and other (e.g., digital media).

Noise infusion. A method of disclosure avoidance in which values are perturbed prior to tabulation by applying a random noise multiplier to the magnitude data, such as the sales and receipts for all firms. Disclosure protection is accomplished in a manner that causes the vast majority of cell values to be perturbed by, at most, a few percentage points.

North American Industry Classification System (NAICS). NAICS is the standard used by federal statistical agencies in classifying business establishments for the purpose of collecting, analyzing, and publishing statistical data related to the U.S. business economy. This system is used by the United States, Canada, and Mexico.

Race. The data on race were derived from answers to the race question. Race data are collected in accordance with the guidelines provided by OMB, and these data are based on self-identification. The racial categories included in the questionnaire generally reflect a social definition of race recognized in this country and are not an attempt to define race biologically, anthropologically, or genetically. In addition, it is recognized that the categories of the race question include race and national origin or sociocultural groups. OMB requires that race data be collected for a minimum of five groups: White, Black or African American, American Indian or Alaska Native, Asian, and Native Hawaiian or Other Pacific Islander. Respondents may report more than one race.

Receipts. Includes the total sales, shipments, receipts, revenue, or grants for domestic operations, excluding foreign subsidiaries.

Research and development (R&D). R&D is planned, creative work aimed at discovering new knowledge or devising new applications of available knowledge. This includes (1) activities aimed at acquiring new knowledge or understanding without specific immediate commercial applications or uses (basic research); (2) activities aimed at solving a specific problem or meeting a specific commercial objective (applied research); and (3) systematic use of research and practical experience and resulting in additional knowledge, which is directed to producing new or improved goods, services, or processes (development). R&D includes both direct costs, such as salaries of researchers, and administrative and overhead costs clearly associated with the company’s R&D. However, R&D does not include expenditures for routine product testing, quality control, and technical services unless they are an integral part of an R&D project. R&D also does not include market research; efficiency surveys or management studies; literary, artistic, or historical projects, such as films, music, or books and other publications; and prospecting or exploration for natural resources.

  • Basic research. Activities aimed at acquiring new knowledge or understanding without specific immediate commercial applications or uses.
  • Applied research. Activities aimed at solving a specific problem or meeting a specific commercial objective.
  • Development. Systematic work, drawing on research and practical experience and resulting in additional knowledge, which is directed to producing new products or processes or to improving existing products or processes.

R&D activity in software includes:

  • Software development or improvement activities that expand scientific or technological knowledge
  • Construction of new theories and algorithms in the field of computer science

R&D activity in software excludes:

  • Software development that does not depend on a scientific or technological advance, such as:
    • Supporting or adapting existing systems,
    • Adding functionality to existing application programs,
    • Routine debugging of existing systems and software, and
    • Creation of new software based on known methods and applications.
  • Conversion or translation of existing software and software languages; and
  • Adaptation of a product to a specific client, unless knowledge that significantly improved the base program was added in that process.

Services. Intangible activities, such as retailing, insurance, educational courses, air travel, and consulting; also includes digital services. (Exclude the simple resale of new services.)

Sex. For the purposes of the ABS, sex refers to a person’s biological sex. The sex question wording very specifically intends to capture a person’s biological sex and not gender.

Unaffiliated (company or business). Entity that is owned less than 10%, directly or indirectly, by your company (i.e., independent contractors and suppliers).

Worldwide sales. Worldwide and domestic sales and operating revenues, including grants.

Data

Product ID  NSF 25-303
  |  
Published  October 2024

Domestic R&D performed by the company

 

General Notes

This report provides data from the 2023 Annual Business Survey (ABS) (data year 2022). The ABS is the primary source of data on research and development of for-profit, nonfarm businesses with one to nine employees operating in the 50 U.S. states and the District of Columbia. The ABS also collects data on innovation, technology, intellectual property, and business owner characteristics of businesses of all sizes. The ABS is designed to incorporate new content each survey year based on topics of relevance. The 2023 ABS is the sixth year of the ABS. The survey is conducted annually by the Census Bureau for the National Center for Science and Engineering Statistics within the U.S. National Science Foundation.

NCSES has reviewed this product for unauthorized disclosure of confidential information and approved its release (NCSES-DRN24-040).

This report is initially published with a selection of tables containing the core data of the survey. The report will be updated with additional tables as more detailed data become available. In some instances, the initial selection of tables may also be updated from a preliminary version to add further data.

 

Acknowledgments and Suggested Citation

Acknowledgments

Audrey Kindlon of the National Center for Science and Engineering Statistics (NCSES) developed and coordinated this report under the guidance of Amber Levanon Seligson, NCSES Program Director, and under the leadership of Emilda B. Rivers, NCSES Director; Christina Freyman, NCSES Deputy Director; and John Finamore, NCSES Chief Statistician. In partnership with NCSES, the Census Bureau conducted the survey and prepared the tables. NCSES staff members who made significant contributions include Gary Anderson, Jennifer Beck, Jock Black, and Timothy Wojan.

The Census Bureau, under U.S. National Science Foundation interagency agreement number NCSE-1748418, collected, processed, evaluated, and tabulated the data for this report. The Annual Business Survey is conducted within the Economic Directorate of the Census Bureau under the direction of Nick Orsini, Associate Director for Economic Programs, and Stephanie Studds, Assistant Director for Economic Programs.

The data were prepared in the Economic Reimbursable Surveys Division under the direction of Kevin Deardorff, Division Chief, and Aneta Erdie, Assistant Division Chief. This work was performed under the supervision of Patrice Hall, assisted by John Clark, Lakitquana Leal, and Gail White, with staff assistance from Concepcion Arenas Alvarez, Ahmad Bakhshi, Elaine Emanuel, Aaron Finkle, Mary Frauenfelder, Samantha Hernandez, James Jarzabkowski, Jessica Welch, and Tesfay Weldu. Additional support, including table creation and subject matter expertise, was provided by Brandon Shackelford.

Mathematical and statistical techniques were provided by the Economic Statistical Methods Division under the direction of James Hunt, Assistant Division Chief. This work was performed under the supervision of Roberta Kurec, assisted by Sandra Peterson, and Dhanapati Khatiwoda, with staff support from Taylor Beebe, Daniel Cordes, and Stephen Hardy.

Data collection procedures and operations were provided by the Economic Management Division under the direction of Lisa Donaldson, Division Chief, and Michelle Karlsson, Assistant Division Chief. The staff of the National Processing Center performed mailout preparation, respondent assistance, and correspondence processing. Project management support was provided by Laura Hardesty.

Development and coordination of the computer processing system was provided by the Economic Application Division under the direction of Sumit Khaneja, Division Chief and Olajumoke Oyewole, Assistant Division Chief. This work was performed by Marilyn Balogh, Michael Feldman, David Gonzalez, Chakravarthy Sharad, and Joseph Talbot.

Suggested Citation

National Center for Science and Engineering Statistics (NCSES). 2024. Annual Business Survey: 2023 (Data Year 2022). NSF 25-303. Alexandria, VA: U.S. National Science Foundation. Available at https://ncses.nsf.gov/surveys/annual-business-survey/2023.

Analysis

Survey Contact

For additional information about this survey or the methodology, contact

Audrey Kindlon
Survey Manager
Phone
(703) 292-2332
E-mail
akindlon@nsf.gov
Address
National Center for Science and Engineering Statistics, 2415 Eisenhower Avenue, Suite W14200, Alexandria, VA 22314