Key Takeaways
- Globally, 37% of the population remains offline, limiting digital literacy exposure (2023)
- In 2022, 63% of the world population used the internet, foundational for digital literacy
- 2.6 billion people lack internet access, hindering digital literacy development (2022)
- In the US, 96% of adults have internet access, high digital literacy base (2023)
- EU average digital skills basic proficiency at 55% (2023)
- UK: 95% adults online, 80% with strong digital skills (2023)
- 59% of women vs 66% men have digital skills globally (2022)
- Elderly (65+) digital literacy 40% lower than youth (OECD 2023)
- Low-income households 25% digital proficiency vs 80% high-income (US 2023)
- Globally, basic digital skills assessed at level 1 or below for 26% adults (PIAAC)
- 12% of adults have no computer skills (OECD 2023 update)
- Ability to use search engines proficiently: 60% EU adults (2023)
- Digital Schools Initiative covers skills training in 20 countries (2023)
- EU Digital Education Action Plan targets 80% basic skills by 2030
- India's Digital Saksharta Abhiyan trained 60 million (2023)
A global digital divide persists, with billions lacking basic internet access and skills.
Demographics
Demographics Interpretation
Education
Education Interpretation
Impacts
Impacts Interpretation
Prevalence
Prevalence Interpretation
Regional
Regional Interpretation
Skills
Skills 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.
James Okoro. (2026, February 13). Digital Literacy Statistics. Gitnux. https://gitnux.org/digital-literacy-statistics
James Okoro. "Digital Literacy Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/digital-literacy-statistics.
James Okoro. 2026. "Digital Literacy Statistics." Gitnux. https://gitnux.org/digital-literacy-statistics.
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