Key Takeaways
- Technology improves math scores by 0.22 standard deviations for kids using edtech
- 93% of teachers say digital tools help personalize learning for students
- Students using educational apps show 20% higher engagement in STEM
- Social media scrolling shortens attention span leading to ADHD symptoms in 35% kids
- Cyberbullying affects 37% of youth, increasing depression risk 2x
- >3 hours social media daily doubles anxiety odds in teens
- 61% of 13-17 year olds encounter harmful content online
- 32% of kids share personal info online unsafely
- Cyberbullying victims are 54% of online youth
- Excessive screen time over 7 hours/day increases obesity risk by 58% in children
- Kids with >2 hours screen time daily have 2.5x higher myopia risk
- Sedentary screen use links to 30% higher BMI in teens
- In 2023, 95% of U.S. teens aged 13-17 have access to a smartphone
- Children aged 8-12 spend an average of 5.5 hours per day on entertainment screen media excluding schoolwork and TV
- 67% of U.S. children aged 0-8 use YouTube
STEM coding, VR, and personalized edtech boost kids learning while screen risks like cyberbullying remain concerns.
Educational Benefits and Impacts
Educational Benefits and Impacts Interpretation
Online Safety and Digital Literacy
Online Safety and Digital Literacy Interpretation
Physical Health Effects
Physical Health Effects Interpretation
Screen Time and Usage
Screen Time and Usage Interpretation
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.
Daniel Varga. (2026, February 13). Kids And Technology Statistics. Gitnux. https://gitnux.org/kids-and-technology-statistics
Daniel Varga. "Kids And Technology Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/kids-and-technology-statistics.
Daniel Varga. 2026. "Kids And Technology Statistics." Gitnux. https://gitnux.org/kids-and-technology-statistics.
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