Key Takeaways
- 5.7% year-over-year growth in U.S. employment for computer and mathematical occupations in 2023 (from the prior year).
- 4,975,000 people employed in computer and mathematical occupations in the United States (2023).
- 19.5% of all STEM workers in the United States were in computer and mathematical occupations (2022).
- 1.0% of total U.S. employment was in computer and mathematical occupation categories, showing tight labor demand (May 2023 share).
- 4.7% of U.S. technology workers reported being unemployed in 2023 (unemployment rate for IT occupation group).
- 11.3% annual growth in job openings for data scientists in the United States (2021–2023 trend).
- The median pay for data scientists in the U.S. was $108,020 (2023).
- The median pay for information security analysts in the U.S. was $120,360 (2023).
- The median pay for computer systems analysts in the U.S. was $99,270 (2023).
- 12.9% of the U.S. technology workforce is Black or African American (2023 ACS-based estimates).
- 25.5% of the U.S. technology workforce is Hispanic or Latino (2023 ACS-based estimates).
- 27.6% of U.S. STEM workers are women (2022).
- 30% of U.S. knowledge workers were fully remote in 2023 (BLS or survey estimate for remote).
- In 2023, 56% of U.S. tech workers reported hybrid work as their primary work arrangement (survey).
- In 2023, 39% of U.S. employees in the IT sector said they could work fully remote (survey).
U.S. tech employment is growing fast, with strong pay and demand, while hybrid and remote work expand.
Related reading
01 · Category
Compensation9 stats
Compensation Interpretation
02 · Category
Hiring And Demand12 stats
Hiring And Demand Interpretation
Unfilled AI-Related Roles by Organization Size (2023)
Across U.S. organization sizes in 2023, the share reporting an unfilled AI-related role is dominant and flat—about 63% in every segment, with no size group leading or trailing.
03 · Category
Diversity And Inclusion7 stats
Diversity And Inclusion Interpretation
More related reading
04 · Category
Remote And Work Models7 stats
Remote And Work Models Interpretation
05 · Category
Workforce Levels4 stats
Workforce Levels Interpretation
06 · Category
Industry Overview4 stats
Industry Overview Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Megan Gallagher. (2026, February 13). Tech Industry Employment Statistics. Gitnux. https://gitnux.org/tech-industry-employment-statistics
Megan Gallagher. "Tech Industry Employment Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/tech-industry-employment-statistics.
Megan Gallagher. 2026. "Tech Industry Employment Statistics." Gitnux. https://gitnux.org/tech-industry-employment-statistics.
Sources & references
40 datasets cited across this report · attribution is report-level
+19 additional datasets cited (not shown individually)

