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Business Dynamics Statistics of U.S. High Tech Industries (BDS-HT)

Business Dynamics Statistics of U.S. High Tech Industries (BDS-HT)

The Business Dynamics Statistics of U.S. High Tech Industries (BDS-HT) is an experimental data product extending the set of statistics published by the Business Dynamics Statistics program. BDS-HT is a component of a broader set of approaches aimed at better measuring the business dynamics of innovative firms (BDS-IF), described in greater detail in Goldschlag & Perlman (2017). BDS-HT provides annual measures of business dynamics for High Tech and non-High Tech industries, defined by Science, Technology, Engineering, and Math (STEM) occupation intensity. Additional details on the industry classification can be found in the Methodology dropdown below.

BDS-HT data tables show key economic data including the number of establishments, firms, and employment, job creation and destruction, establishment openings and closings, and number of startups and firm shutdowns for the High Tech sector. The BDS-HT series provides annual statistics for 1978 to 2022 for the High Tech sector by firm size and firm age, initial firm size, establishment size and establishment age, initial establishment size, state, metro/non-metro, and MSA.

References

Chow, Melissa & Goldschlag, Nathan. (2023). Where in the United States Are the High-Tech Jobs? America Counts: Stories.

Goldschlag, Nathan, & Miranda, Javier. (2020). Business Dynamics Statistics of High Tech Industries. Journal of Economics & Management Strategy, 29(1), 3-30.

Goldschlag, Nathan & Perlman, Elisabeth. (2017). Business Dynamic Statistics of Innovative Firms. CES Discussion Paper Series, CES-WP-17-72, Center for Economic Studies, U.S. Census Bureau.

NEW: The 2022 BDS-High Tech covering the years 1978 to 2022 is now available! The 2022 release includes applicable changes and improvements reflected in the 2022 BDS Release.

Download experimental Business Dynamics Statistics of U.S. High Tech Industries (BDS-High Tech) data tables below. Variable definitions can be found in the BDS-High Tech Definitions dropdown below.

Data Sources

The BDS-High Tech is an experimental product of the U.S. Census Bureau. The BDS-HT was developed by the Center for Economic Studies (CES). The BDS-HT data are compiled from the Longitudinal Business Database (LBD) and the High Tech industry classification. The LBD is a longitudinal database of business establishments and firms with coverage starting in 1976. As industry and occupation classifications change, and additional years of the LBD data become available, the BDS-HT industry classification will be updated as described on the Methodology dropdown below.

The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data used to produce this product (Data Management System (DMS) number:  P-7083300, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0446).

Economy-Wide Datasets

Firm and Establishment Size and Initial Size Datasets

Firm and Establishment Age Datasets

Establishment and Firm Age by Size and Initial Size Datasets

Geography Datasets

Prior Versions of BDS-High Tech

The year t release replaces the year t-1 release e.g. the 2022 release (1978-2022) replaces the 2021 release (1978-2021). Please contact us if interested in prior releases.

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ht - Indicates whether an establishment is in a High Tech industry in year t. Valid values are “High Tech” or “non- High Tech”. An establishment is defined as High Tech if the vintage consistent 4-digit NAICS 2017 code is equal to one of the industries from Table 1 below. For a description of how these industries are identified, please see the Methodology dropdown below.

msacoarse - Numeric code for metropolitan statistical areas, as established by Office of Management and Budget (OMB). Valid values are the five character codes for metropolitan statistical areas or “Micro” for micropolitan statistical areas - all micropolitan statistical areas are grouped together into one “Micro” group. The July 2023 definitions of metropolitan and micropolitan areas are used.

Table 1: BDS-HT Industry List

NAICS Description
3341 Computer and Peripheral Equipment Manufacturing
3342 Communications Equipment Manufacturing
3344 Semiconductor and Other Electronic Component Manufacturing
3345 Navigational, Measuring, Electromedical, and Control Instruments Manufacturing
3364 Aerospace Product and Parts Manufacturing
5112 Software Publishers
5182 Data Processing, Hosting, and Related Services
5191 Other Information Services
5413 Architectural, Engineering, and Related Services
5415 Computer Systems Design and Related Services
5417 Scientific Research and Development Services

For all other variable definitions refer to BDS Codebook and Glossary.

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The BDS-HT experimental data product classifies industries as High Tech using the concentration of Science, Technology, Engineering, and Math (STEM) occupation employment as described in Goldschlag & Miranda (2020) (henceforth GM2020) and Hecker (2005). Here we briefly describe the details of how that methodology was applied to create the BDS-HT data products. We apply the STEM method to eleven years of industry-occupation data covering the 2007 Economic Census to the 2017 Economic Census. In each year, we identify 2017 NAICS vintage industries with a STEM employment share at least five times the national average STEM employment share across all industries. We classify industries as High Tech for the BDS-HT experimental data products if they meet this threshold in at least six of the eleven years. The set of industries classified as High Tech for the BDS-HT products are shown in Table 2.

Table 2: BDS-HT Industry List

NAICS Description
3341 Computer and Peripheral Equipment Manufacturing
3342 Communications Equipment Manufacturing
3344 Semiconductor and Other Electronic Component Manufacturing
3345 Navigational, Measuring, Electromedical, and Control Instruments Manufacturing
3364 Aerospace Product and Parts Manufacturing
5112 Software Publishers
5182 Data Processing, Hosting, and Related Services
5191 Other Information Services
5413 Architectural, Engineering, and Related Services
5415 Computer Systems Design and Related Services
5417 Scientific Research and Development Services

There are several reasons for using the industry occupation data in this way. Having the window of years tied to Economic Census years, which occur every five years, facilitates future updates to the industry listing as NAICS vintages change. NAICS industry code vintages change every five years with each new Economic Census. When NAICS vintages change, we will shift the eleven-year window by five years ending with the latest Economic Census year. Having the window of years cover two inter-Economic Census periods will make changes to the industry list more gradual. Finally, using eleven years of data near the end of the time series simplifies the interpretation of the statistics. The BDS-HT data products will capture the current and historic business dynamics patterns of industries that were classified as High Tech in a decade near the end of the BDS data. This approach also limits the likelihood of the classification capturing industries that were High Tech many years ago but are no longer High Tech.

There are several notable differences between the industry list used for the BDS-HT data products and that described in GM2020. Despite the minor differences in industry listings, the patterns in business dynamism for High Tech industries described in GM2020 also appear in the BDS-HT experimental data product. For example, the rise of job creation rates in the late 1990s and the surge of firm entry through the mid and late 1990s are evident in both the BDS-HT experimental data tables and GM2020.

The differences between the industry listing presented in GM2020 and that used for the BDS-HT data products occur for several reasons. First, GM2020 used the union of industries classified as High Tech via STEM concentration in 2005, 2012, and 2014. The BDS-HT experimental product definition uses a majority rule with different and additional years of data. Second, GM2020 used 2007 NAICS industry codes and 2010 SOC occupation codes. The splitting and collapsing of industries between NAICS vintages between the 2007 and 2017 NAICS codes can change the relative STEM concentration across industries.

Nearly all industries classified as High Tech in GM2020 are also identified as High Tech in the BDS-HT experimental data product. The four exceptions are “Oil and Gas Extraction” (NAICS 2111), “Pharmaceutical and Medicine Manufacturing” (NAICS 3254), “Wired Telecommunications Carriers” (NAICS 5171), and “Other Telecommunications” (NAICS 5179).  Industry 2111 only met the STEM threshold in 2012, one year of our 11-year window and therefore, is not included in our list of High Tech industries. NAICS industry 3254 met the criteria in five of the eleven years and NAICS 5179 only met the criteria in one year. Starting in 2017, BLS aggregated 5173, 5174, and 5179 into one four-digit industry: 5170. This does not affect whether these industries are classified as High Tech. Finally, 5179 met the STEM threshold in the 2000s, but not after that.

NAICS industry 5171 is a unique case among the set of industries that were previously classified as High Tech in GM2020 but are not considered High Tech in the BDS-HT product. NAICS 5171 experienced complex industry classification changes across NAICS vintages. This industry was derived from a 2002 NAICS code that split into 3 different 2007 NAICS codes (5171, 5179, and 5191). In the 2017 NAICS vintage, 5171 is combined with another industry (5172) to form a new four-digit NAICS industry: 5173. Therefore, 5171 does not exist in the 2017 NAICS vintage. Moreover, the STEM intensity of 5173 will depend on the combined composition of the prior vintage 5171 and 5172 components.

Additionally, the BDS-HT follows the BDS Methodology to calculate the various statistics reported in the tables.

References

Goldschlag, Nathan, & Miranda, Javier. (2020). Business Dynamics Statistics of High Tech Industries. Journal of Economics & Management Strategy, 29(1), 3-30.

Hecker, Daniel E. (2005). High-Technology Employment: a NAICS-Based Update. Monthly Lab. Rev., 128, 57.

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Below are links to selected publications related to the BDS-High Tech.

Chow, Melissa & Goldschlag, Nathan. (2023). Where in the United States   Are the High-Tech Jobs? America Counts: Stories.

Goldschlag, Nathan, & Miranda, Javier. (2020). Business Dynamics Statistics of High Tech Industries. Journal of Economics & Management Strategy, 29(1), 3-30.

Goldschlag, Nathan & Perlman, Elisabeth. (2017). Business Dynamic Statistics of Innovative Firms. CES Discussion Paper Series, CES-WP-17-72, Center for Economic Studies, U.S. Census Bureau.

Haltiwanger, John, Hathaway, Ian, & Miranda, Javier. (2014). Declining business dynamism in the US high-technology sector. Discussion paper, Ewing Marion Kauffman Foundation.

Hecker, Daniel E. (2005). High-Technology Employment: a NAICS-Based Update. Monthly Lab. Rev., 128, 57.

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Questions? Contact us at ces.bds@census.gov.

Page Last Revised - March 17, 2025
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