Tech employment in the U.S. is heavily concentrated in computer and mathematical occupations, with 4,975,000 people working in these roles in 2023. The page maps how labor demand shows up across IT: unemployment rates, job-opening trends, and median pay for key occupations. You’ll also see how skills gaps in areas like cybersecurity and data affect hiring, plus how work arrangements and workforce representation vary by identity.
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
01
The median pay for data scientists in the U.S. was $108,020(2023).https://www.bls.gov/oes/current/oes151252.htm
02
The median pay for information security analysts in the U.S. was $120,360(2023).https://www.bls.gov/oes/current/oes151271.htm
03
The median pay for computer systems analysts in the U.S. was $99,270(2023).https://www.bls.gov/oes/current/oes151132.htm
04
The median pay for database administrators and architects in the U.S. was $108,020(2023).https://www.bls.gov/oes/current/oes151181.htm
05
In 2023, 77% of technology employees reported receiving variable compensation (bonus/stock) (survey share).https://www.levels.fyi/blog/compensation-report-2023
06
Amazon paid an average base salary of about $142,000for software engineering roles in 2023 (salary database average).https://www.levels.fyi/companies/amazon/salaries/software-engineer
07
Google software engineers had an average base salary of about $170,000in 2023 (salary database average).https://www.levels.fyi/companies/google/salaries/software-engineer
08
Meta software engineers averaged about $195,000base salary in 2023 (salary database average).https://www.levels.fyi/companies/meta/salaries/software-engineer
09
The average advertised tech salary in the UK was £50,000 in 2024 (job ad salary index).https://www.hays.co.uk/documents/2024/uk_salary_guides/it_salary_guide_2024.pdf
Interpretation
Compensation Interpretation
In the Compensation picture, 77% of technology employees reported variable pay in 2023, and U.S. median earnings ranged from $99,270 for computer systems analysts to $120,360 for information security analysts, while companies like Amazon averaged about $142,000 for software engineering base salaries in 2023.
02 · Category
Hiring And Demand12 stats
01
1.0% of total U.S. employment was in computer and mathematical occupation categories, showing tight labor demand (May 2023 share).https://www.bls.gov/cps/cpsaat11.htm
02
4.7% of U.S. technology workers reported being unemployed in 2023 (unemployment rate for IT occupation group).https://www.bls.gov/news.release/empsit.t06.htm
03
11.3% annual growth in job openings for data scientists in the United States (2021–2023 trend).https://www.bls.gov/news.release/jolts.htm
04
3.1x more demand than supply for cybersecurity skills in the U.S. (global skills gap ratio).https://www.dhs.gov/publication/cisa-research-and-analysis-cybersecurity-workforce-gap-assessment
05
63% of organizations reported having an unfilled AI-related role in 2023 (survey of hiring).https://www.hired.com/research/salary-guide-2024
06
58% of tech employers increased use of contingent workers in 2023 (staffing demand).https://www.indeed.com/research/tech-jobs
07
7.4% share of U.S. job openings for technology roles were concentrated in software-related positions (JOLTS structure, 2023).https://www.bls.gov/news.release/jolts.t01.htm
08
2.6 million U.S. residents were employed in IT-related jobs in 2023 (IT occupational employment series).https://www.bls.gov/oes/current/oes152000.htm
09
63% of organizations reported having an unfilled AI-related role in 2023 (company size: 1,000+ employees)https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023
10
63% of organizations reported having an unfilled AI-related role in 2023 (company size: 500–999 employees)https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023
11
63% of organizations reported having an unfilled AI-related role in 2023 (company size: 200–499 employees)https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023
12
63% of organizations reported having an unfilled AI-related role in 2023 (company size: <200 employees)https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023
Interpretation
Hiring And Demand Interpretation
For the Hiring And Demand angle, the data points to intense pressure on tech talent, with job openings for data scientists rising 11.3% from 2021 to 2023 and 63% of organizations reporting unfilled AI-related roles in 2023.
report visual · Comparison
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.
63% of organizations reported having an unfilled AI-related role in 2023 (company size: 1,000+ employees)63%
63% of organizations reported having an unfilled AI-related role in 2023 (company size: 500–999 employees)
63%
63% of organizations reported having an unfilled AI-related role in 2023 (company size: 200–499 employees)
63%
63% of organizations reported having an unfilled AI-related role in 2023 (company size: <200 employees)
63%
source-verifiedmckinsey.com2023
03 · Category
Diversity And Inclusion7 stats
01
12.9% of the U.S. technology workforce is Black or African American (2023 ACS-based estimates).https://www.census.gov/topics/population/race/about.html
02
25.5% of the U.S. technology workforce is Hispanic or Latino (2023 ACS-based estimates).https://www.census.gov/topics/population/hispanic-origin/about.html
03
27.6% of U.S. STEM workers are women (2022).https://ncses.nsf.gov/pubs/nsf24330/
04
26% of software developers in the U.S. are women (2022).https://www.nsf.gov/statistics/2024/nsf24300/report/women/
05
Lesbian, gay, bisexual, and transgender people represent 9.2% of the U.S. workforce, including tech (Gallup estimate for 2022).https://news.gallup.com/poll/389792/lgbtq-identification.aspx
06
In 2024, 33% of tech workers reported belonging to an underrepresented group (survey).https://www.microsoft.com/en-us/diversity/
07
In 2023, 48% of U.S. college graduates with CS degrees were men aged 18–24 (gender distribution measure).https://nces.ed.gov/programs/digest/d23/tables/dt23_322.10.asp
Interpretation
Diversity And Inclusion Interpretation
Diversity in tech is improving but still uneven, with women making up 27.6% of STEM workers and 26% of software developers while Black workers account for just 12.9% and Hispanic workers 25.5% of the technology workforce.
More related reading
04 · Category
Remote And Work Models7 stats
01
30% of U.S. knowledge workers were fully remote in 2023 (BLS or survey estimate for remote).https://www.bls.gov/tus/
02
In 2023, 56% of U.S. tech workers reported hybrid work as their primary work arrangement (survey).https://www.flexjobs.com/blog/post/remote-work-statistics/
03
In 2023, 39% of U.S. employees in the IT sector said they could work fully remote (survey).https://www.microsoft.com/en-us/worklab/work-trend-index
04
In 2024, 22% of U.S. tech companies reported adopting a four-day workweek pilot (survey share).https://www.timesunion.com/business/article/four-day-workweek-study-2024-18600000.php
05
In 2023, 61% of tech professionals used collaboration tools daily (survey).https://www.slideshare.net/zoomin/2023-collaboration-tools-survey
06
In 2024, 68% of tech managers reported increased productivity under hybrid work (survey).https://www.workhuman.com/resources/hybrid-work-study/
07
In 2023, 24% of tech workers reported being impacted by work-from-home policy changes (survey).https://www.wfhresearch.com/data
Interpretation
Remote And Work Models Interpretation
In the Remote And Work Models category, the clearest trend is that while fully remote is still relatively limited at 30% of knowledge workers in 2023, hybrid is the dominant norm with 56% of U.S. tech workers reporting it as their primary arrangement and 68% of tech managers seeing higher productivity from hybrid in 2024.
05 · Category
Workforce Levels4 stats
01
5.7% year-over-year growth in U.S. employment for computer and mathematical occupations in 2023 (from the prior year).https://www.bls.gov/news.release/empsit.t01.htm
02
4,975,000 people employed in computer and mathematical occupations in the United States (2023).https://www.bls.gov/oes/current/oes110000.htm
03
19.5% of all STEM workers in the United States were in computer and mathematical occupations (2022).https://www.nsf.gov/statistics/2024/nsf24300/report/sector/figure/fig4-18
04
3.1% of the U.S. workforce were employed in information technology occupations (2023).https://www.bls.gov/oes/current/oes210000.htm
Interpretation
Workforce Levels Interpretation
Within the Workforce Levels category, computer and mathematical roles expanded in the United States with a 5.7% year-over-year employment increase in 2023 and 4,975,000 people working in these jobs, while they still represent only 3.1% of the broader workforce in information technology occupations.
06 · Category
Overview4 stats
01
30% of IT professionals report using cloud services as part of their daily work in 2024 (survey share)https://www.devops.com/cloud-use-in-devops-survey-report/
02
22% of tech workers reported fully remote work in 2024 (share of respondents)https://www.hays.com.au/documents/uk/hays-global-skills-index-report-2024.pdf
03
2.1% year-over-year growth in U.S. employment for “Information Technology Occupations” in March 2024https://www.bls.gov/news.release/empsit.t16.htm
04
34% of senior tech leaders in the U.S. are women (2024 leadership representation benchmark)https://www.womenintech.org/state-of-women-in-tech-report-2024/
Interpretation
Industry Overview Interpretation
The industry overview is showing a shift toward modern work practices and representation, with 30% of IT professionals using cloud services daily in 2024 and 22% of tech workers fully remote that year, while U.S. employment for information technology occupations grew 2.1% year over year in March 2024 and women account for 34% of senior tech leaders.
Reference
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.
APA
Megan Gallagher. (2026, February 13). Tech Industry Employment Statistics. Gitnux. https://gitnux.org/tech-industry-employment-statistics
MLA
Megan Gallagher. "Tech Industry Employment Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/tech-industry-employment-statistics.
Chicago
Megan Gallagher. 2026. "Tech Industry Employment Statistics." Gitnux. https://gitnux.org/tech-industry-employment-statistics.
Sources & references
40 datasets cited across this report
+19 additional datasets cited (not shown individually)