Just how fast is coding evolving while the people behind it change? With the number of professional developers reaching 28.7 million in 2023 and the software development market projected to hit $858.10 billion by 2028, the industry is scaling alongside shifting demographics, skills, and tools. We break down the data from salaries and education to bootcamp outcomes, programming language habits, and how teams actually work day to day.
Key Takeaways
- 71% of developers are men, 28% women in 2023 Stack Overflow survey
- Average developer age is 30 years, with 45.6% under 30
- 83.9% of developers have college degree or higher
- 65% of coding bootcamp grads land jobs within 6 months
- 47% of developers learned via online courses in 2023
- CS bachelor's degrees awarded: 100,410 in US 2022, up 10%
- The global software developer population grew to 28.7 million in 2023, a 4.8% increase from 2022
- Software development market size is projected to reach $858.10 billion by 2028, growing at a CAGR of 11.7% from 2023
- Number of professional developers worldwide is estimated at 26.3 million in 2023
- JavaScript remains the most used programming language with 62.3% usage among developers in 2023
- Python usage grew to 49.3% among professional developers in 2023, up from 42% in 2022
- HTML/CSS tops web technologies at 52.9% usage in 2023 Stack Overflow survey
- VS Code used by 73.7% of developers in 2023
- Git usage at 92.2%, highest version control
- Agile methodologies used by 87% of teams
Developers average 30, earn a median $120k in the US, and use tools like Stack Overflow weekly to learn.
Demographics
171% of developers are men, 28% women in 2023 Stack Overflow survey
Single source
2Average developer age is 30 years, with 45.6% under 30
Verified
383.9% of developers have college degree or higher
Verified
4Full-time employment at 84.1%
Single source
5US developers 22.5% of respondents, India 15.3%
Verified
662% white/Caucasian, 15% Asian
Single source
7Median salary for US devs $120k in 2023
Verified
818.2% self-taught developers
Verified
9Freelance/independent at 8.8%
Verified
106.3% non-binary developers
Verified
1112.4% devs from Germany
Directional
12Undergrad degree 44.2%
Directional
135.8% unemployed devs
Directional
14Hispanic/Latino 6%
Single source
15Brazil 5.1% respondents
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16Median global salary $55k
Single source
1725-34 age group 48.2%
Verified
18Prefer in-person 12.4%
Verified
1929.1% high school or associate
Verified
2056% straight/heterosexual
Verified
Demographics Interpretation
The coding profession continues to be dominated by young, college-educated men in the US who command high salaries, yet the field is slowly becoming more diverse in gender, geography, and learning paths.
Education
165% of coding bootcamp grads land jobs within 6 months
Directional
247% of developers learned via online courses in 2023
Verified
3CS bachelor's degrees awarded: 100,410 in US 2022, up 10%
Verified
491% of devs use Stack Overflow weekly for learning
Verified
5Coding bootcamps average 14 weeks duration
Verified
637% learned from YouTube
Verified
7Women in CS degrees up 25% since 2017
Directional
822% of devs have bootcamp experience
Directional
9Self-taught proportion 48% globally, higher in some regions
Verified
10Average time to first dev job: 6 months post-bootcamp
Verified
11Documentation official 45%
Verified
12University courses 32%
Verified
13Books 22%
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1478% English primary language
Single source
15CS enrollment up 15% in US unis 2022
Verified
1668% devs code daily >4 hours
Verified
17Mentor guidance 18%
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18Hackathons 11%
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19MOOCs like Coursera 25%
Verified
Education Interpretation
While traditional CS degrees remain robust and online resources flourish, the modern path to coding is a vibrant mosaic—self-taught devs, bootcamp grads, and university students alike are proving that with grit and Google, a tech career is now more accessible and diverse than ever.
Industry Growth
1The global software developer population grew to 28.7 million in 2023, a 4.8% increase from 2022
Directional
2Software development market size is projected to reach $858.10 billion by 2028, growing at a CAGR of 11.7% from 2023
Verified
3Number of professional developers worldwide is estimated at 26.3 million in 2023
Verified
4US software developer jobs increased by 22% from 2020 to 2023
Single source
5Global coding bootcamp market valued at $1.2 billion in 2022, expected to grow to $2.8 billion by 2030
Verified
6AI-related coding jobs surged 75% year-over-year in 2023
Verified
7Remote coding jobs doubled from 2019 to 2023, comprising 30% of all dev roles
Verified
8Developer productivity tools market to hit $12.5 billion by 2027, CAGR 15.2%
Verified
9Open source contributions grew 25% in 2023 to over 1.2 billion
Directional
10Low-code/no-code platforms adoption up 40% in enterprises in 2023
Verified
11Global developer population forecast to reach 45 million by 2030, CAGR 5.5%
Verified
12Cloud computing dev jobs up 30% in 2023
Single source
13Cybersecurity coding roles increased 32% YoY
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14Mobile app dev market $200B in 2023
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15Blockchain dev jobs tripled since 2020
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16Enterprise software spending $500B annually
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17DevOps market to $25B by 2028, CAGR 24%
Single source
18Women in tech dev roles 26% in 2023, up 2%
Single source
Industry Growth Interpretation
We are no longer just writing code but building the very architecture of the future at a breakneck pace, with millions more joining a massively scaled, high-stakes relay race while the tools and terrain transform around them.
Language Usage
1JavaScript remains the most used programming language with 62.3% usage among developers in 2023
Verified
2Python usage grew to 49.3% among professional developers in 2023, up from 42% in 2022
Single source
3HTML/CSS tops web technologies at 52.9% usage in 2023 Stack Overflow survey
Verified
4SQL is used by 51% of developers, ranking high in databases
Directional
5Rust admired language score of 82.2% in 2023, highest among respondents
Single source
6TypeScript usage reached 38.5% in 2023, up 7% from prior year
Verified
7Java holds 30.6% usage among backend devs
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8Go usage at 13.5% but admired by 64%
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9C# used by 27.1% professionals, strong in game dev
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10PHP still at 18.5% despite decline
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11C++ usage 22.5% in systems programming
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12Kotlin for Android at 12% adoption
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13Swift used by 6.5% but high in iOS dev
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14Ruby declining to 5.2% usage
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15Shell scripting 17.8%
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16MATLAB niche at 1.2% in scientific computing
Directional
17Elixir admired 62%, usage 1.5%
Single source
18Zig emerging, 0.8% usage but growing
Verified
19Clojure 1.2% usage, functional lang
Single source
20R language 7.1% in data science
Verified
Language Usage Interpretation
The tech landscape is a curious cocktail where JavaScript remains the undisputed king of the bar, Python is the popular newcomer buying everyone a round, and Rust is that impeccably dressed patron everyone admires but is too intimidated to actually talk to.
Productivity
1VS Code used by 73.7% of developers in 2023
Verified
2Git usage at 92.2%, highest version control
Verified
3Agile methodologies used by 87% of teams
Verified
4CI/CD pipelines in 74% of orgs
Verified
5Docker containerization at 48.5% usage
Verified
660% report improved productivity with AI tools like Copilot
Verified
7Unit testing practiced by 70% daily
Directional
8Remote work boosts productivity for 77% devs
Single source
9Code review mandatory in 85% teams
Verified
10Average dev commits 10-20 times weekly
Verified
11IntelliJ IDEA 28% usage
Single source
12Kubernetes 28.7%
Single source
13TDD 23% devs use
Single source
1449% use AI coding assistants weekly
Single source
15Vim 10.5%
Directional
16Jira 47% for project mgmt
Verified
17Pair programming 15%
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18AWS cloud 49%
Verified
1935% report burnout, impacting productivity
Verified
20React framework 40.6%
Verified
Productivity Interpretation
While the data paints a picture of a highly standardized, tool-driven, and productive modern developer, the concurrent high rates of burnout suggest we may be building the future of software on a foundation of quietly frazzled humans.
How We Rate Confidence
Models
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Single source
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Directional
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
Verified
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Models
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
David Kowalski. (2026, February 13). Coding Statistics. Gitnux. https://gitnux.org/coding-statistics
MLA
David Kowalski. "Coding Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/coding-statistics.
Chicago
David Kowalski. 2026. "Coding Statistics." Gitnux. https://gitnux.org/coding-statistics.
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