Key Takeaways
- 80%–90% of people who stutter are male
- About 70% of people who stutter report experiencing secondary behaviors (e.g., facial tension or physical avoidance)
- Speech-language therapy for stuttering is recommended by major professional bodies such as ASHA
- Stuttering is included in the DSM-5 under communication disorders (typically classified with other speech-language disorders)
- NICE guidance supports assessment and intervention pathways for stammering/stuttering within speech and language therapy services
- 6% of adults who stutter are affected by severe stuttering (as reported in a study of severity distribution in adults who stutter)
- The SSI-4 includes 4 subscales: frequency of stuttering, duration of stuttering, physical concomitants, and naturalness
- A 2019 systematic review found cognitive behavioral therapy (CBT) interventions for adults who stutter significantly reduced stuttering impact measures
- A 2020 meta-analysis reported that fluency shaping approaches can produce statistically significant improvements in stuttering severity outcomes
- A 2021 Cochrane review reported evidence that speech and language therapy reduces stuttering severity in children
- The same WHO report estimates that neurodevelopmental disorders affect about 1 in 6 children globally
- 8.1% of children worldwide had developmental stuttering as of 2010
- 5% of children are estimated to develop stuttering at some point during childhood
- 1 in 20 children show stuttering-like disfluency that persists for at least 6 months
- 35% of people who stutter report that stuttering has a major negative effect on their self-confidence
Speech and language therapy helps many people who stutter, with strong evidence across adults and children.
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How We Rate Confidence
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.
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
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
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
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.
Timothy Grant. (2026, February 13). Stuttering Statistics. Gitnux. https://gitnux.org/stuttering-statistics
Timothy Grant. "Stuttering Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/stuttering-statistics.
Timothy Grant. 2026. "Stuttering Statistics." Gitnux. https://gitnux.org/stuttering-statistics.
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