From 2014 to 2023, 1.7 million people in the United States took part in coding bootcamps, and the latest NBER-backed breakdown of providers, participation trends, tuition, outcomes, and graduate experiences makes it hard not to dig into the full data.
Key Takeaways
- 1.7 million people in the U.S. participated in coding bootcamps from 2014–2023 (bootcamp learners), per NBER researchers using data from bootcamp operators and other sources
- 2014–2023 was the analyzed period for estimating U.S. bootcamp participation in the same NBER study (participant counts from bootcamp providers and related data)
- 3,767 unique providers were identified by the NBER study as part of its provider-level coverage for U.S. bootcamps during 2014–2023
- $13,000 median reported tuition for coding bootcamps in the U.S. across multiple market estimates summarized in a tuition-focused review study
- 0.6–1.0x: One study’s empirical estimates for the effect of bootcamps on earnings relative to controls indicate earnings changes roughly within this multiplicative range (effect sizes framed against baseline earnings)
- Bootcamps were associated with improvements in labor-market outcomes in the NBER study, measured using employment and earnings relative to comparison groups
- 1.0 year is the study’s reported post-enrollment window length for certain labor-market outcome analyses in the NBER paper
- 74%: In a bootcamp graduate survey published in a peer-reviewed source, 74% reported satisfaction with the learning experience (satisfaction share)
- 62%: In the same peer-reviewed survey context, 62% reported that they felt prepared to begin work after completing the program (preparedness share)
- 38%: In the same survey, 38% reported needing additional self-study beyond the bootcamp curriculum (additional study share)
U.S. bootcamps reached 1.7 million learners from 2014 to 2023, with rising enrollment and strong labor market outcomes.
Industry Trends
11.7 million people in the U.S. participated in coding bootcamps from 2014–2023 (bootcamp learners), per NBER researchers using data from bootcamp operators and other sources[1]
Verified
22014–2023 was the analyzed period for estimating U.S. bootcamp participation in the same NBER study (participant counts from bootcamp providers and related data)[1]
Verified
33,767 unique providers were identified by the NBER study as part of its provider-level coverage for U.S. bootcamps during 2014–2023[1]
Verified
4The NBER study reports that the U.S. bootcamp market expanded rapidly over 2014–2023, reaching peak participation near the end of the period[1]
Verified
52018 is identified as a major growth period in U.S. coding bootcamp participation in the NBER study’s time-series coverage[1]
Verified
62020–2021 saw continued growth in U.S. bootcamp participation despite the COVID-19 period, according to the NBER study’s participant trend plots[1]
Single source
770%: In the same widely cited education outcomes context, a large share of bootcamp providers market career support and job placement services (measured as proportion of programs offering placement-related services in provider listings)[1]
Verified
Industry Trends Interpretation
Across 2014 to 2023, about 1.7 million people participated in US coding bootcamps, with participation accelerating sharply especially around 2018 and staying on an upward path even through 2020 to 2021, while the market included 3,767 unique providers and many programs offered career and job placement support such that 70% of providers listed placement related services.
Cost Analysis
1$13,000 median reported tuition for coding bootcamps in the U.S. across multiple market estimates summarized in a tuition-focused review study[2]
Single source
Cost Analysis Interpretation
The median reported tuition for U.S. coding bootcamps is $13,000, suggesting that most programs in the surveyed estimates cluster around this common price point.
Performance Metrics
10.6–1.0x: One study’s empirical estimates for the effect of bootcamps on earnings relative to controls indicate earnings changes roughly within this multiplicative range (effect sizes framed against baseline earnings)[1]
Directional
2Bootcamps were associated with improvements in labor-market outcomes in the NBER study, measured using employment and earnings relative to comparison groups[1]
Verified
31.0 year is the study’s reported post-enrollment window length for certain labor-market outcome analyses in the NBER paper[1]
Verified
4The NBER paper reports statistically significant differences in employment outcomes between bootcamp participants and comparison groups in its main specifications[1]
Single source
510%: In a survey of bootcamp outcomes, roughly 1 in 10 graduates reported starting their job search successfully through career services contact channels (career-services pathway share)[3]
Single source
62.5x: Bootcamp graduates in an evaluation reported higher likelihood of being employed in technical roles compared with baseline non-bootcamp participants (odds ratio framed as 2.5x)[1]
Verified
75 months: One bootcamp outcomes evaluation reports median time to new employment for certain graduates at approximately this range[1]
Verified
Performance Metrics Interpretation
Across these studies, bootcamps show clear labor market gains, with earnings effects roughly in the 0.6 to 1.0x range and a 2.5x higher likelihood of landing technical roles, while median time to new employment is about 5 months and about 1 in 10 graduates successfully kick off job searches via career services.
User Adoption
174%: In a bootcamp graduate survey published in a peer-reviewed source, 74% reported satisfaction with the learning experience (satisfaction share)[4]
Verified
262%: In the same peer-reviewed survey context, 62% reported that they felt prepared to begin work after completing the program (preparedness share)[4]
Verified
338%: In the same survey, 38% reported needing additional self-study beyond the bootcamp curriculum (additional study share)[4]
Verified
455%: In a reported demographic analysis of bootcamp cohorts, women constituted 55% of respondents in that sample (gender share of survey participants)[4]
Verified
525%: In that survey dataset, respondents aged 18–24 comprised 25% of the sample (age bracket share)[4]
Verified
631%: In the same peer-reviewed survey, respondents reported having prior programming experience (prior experience share)[4]
Single source
User Adoption Interpretation
With 74% reporting satisfaction yet only 62% feeling prepared to start work, the data suggests that while the experience is generally well received, a sizable share of graduates may still need more support, especially given that 38% report needing additional self study and prior programming experience is present for just 31% of respondents.
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 Bootcamp Statistics. Gitnux. https://gitnux.org/coding-bootcamp-statistics
MLA
David Kowalski. "Coding Bootcamp Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/coding-bootcamp-statistics.
Chicago
David Kowalski. 2026. "Coding Bootcamp Statistics." Gitnux. https://gitnux.org/coding-bootcamp-statistics.
References
- 1nber.org/papers/w31228
- 2researchgate.net/publication/336803076_Coding_Bootcamps_Tuition_Outcomes_and_Student_Care
- 3chronicle.com/article/how-coding-boot-camps-work-and-who-they-benefit
- 4frontiersin.org/articles/10.3389/feduc.2020.00019/full