Key Takeaways
- In 2023, over 8,000 data breaches exposed 353 million records in the US alone
- Equifax breach in 2017 affected 147 million people
- 2023 saw 3,205 breaches worldwide, up 72% from 2022
- In 2023, Google tracked 90% of top websites despite Do Not Track
- Facebook collects data from 70% of US adults monthly
- Average website deploys 8 trackers from Google alone, 2023 study
- GDPR fined companies €2.7 billion since 2018
- California CCPA led to 1,500+ deletion requests daily in 2023
- EU fined Meta €1.2 billion for data transfers in 2023
- 30 VPN users grew 25% YoY to 1.5 billion in 2023
- 45% of internet users employ ad blockers in 2024
- Tor browser has 2 million daily users worldwide
- In 2023, 81% of Americans reported feeling they have little or no control over the data companies collect about them
- A 2022 survey found that 59% of internet users have experienced unwanted data collection on social media platforms
- 64% of global consumers say they are more concerned about online privacy than they were five years ago
Breaches and tracking surged in 2023, with most attacks driven by human error and costly cloud misconfigurations.
Related reading
Data Breaches and Incidents
Data Breaches and Incidents Interpretation
Data Collection Practices
Data Collection Practices Interpretation
More related reading
Privacy Regulations and Compliance
Privacy Regulations and Compliance Interpretation
Privacy Tools and Adoption
Privacy Tools and Adoption Interpretation
More related reading
User Awareness and Behavior
User Awareness and Behavior 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.
Lukas Bauer. (2026, February 13). Online Privacy Statistics. Gitnux. https://gitnux.org/online-privacy-statistics
Lukas Bauer. "Online Privacy Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/online-privacy-statistics.
Lukas Bauer. 2026. "Online Privacy Statistics." Gitnux. https://gitnux.org/online-privacy-statistics.
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