Key Takeaways
- Globally, women comprise 54% of Facebook users vs 51% on Instagram in 2023
- TikTok's user base is 57% female worldwide, compared to Snapchat's 51% female skew in 2024
- 60% of YouTube users are under 35 years old, versus LinkedIn's 59% aged 25-34 professional focus
- Average Instagram post reach is 12.6% of followers vs Facebook's 9.5% organic drop
- TikTok average engagement rate is 17.5% per post, triple Instagram's 5.3% benchmark
- Twitter/X link clicks average 1.87% engagement vs YouTube's view-through rates higher
- TikTok grew MAUs 15% YoY to 1.59 billion in 2023, fastest among majors vs Facebook's 3%
- Instagram Reels usage up 25% YoY, closing gap on TikTok short-form dominance
- Twitter/X MAUs declined 15% post-rebrand to 556 million, exodus trend vs Threads rise
- Global social media ad spend reached $207 billion in 2023, Meta capturing 50% share vs TikTok's 10%
- Facebook ad revenue $84.1 billion in 2022, Instagram contributing $32 billion, 38% internal split
- TikTok global ad revenue hit $11 billion in 2023, up 155% YoY vs Snapchat's $4.6 billion
- As of Q1 2024, Facebook boasts 3.05 billion monthly active users (MAUs) compared to Instagram's 2.0 billion MAUs, a 52.5% lead in user base size
- TikTok reported 1.59 billion MAUs in 2023, edging out Snapchat's 414 million MAUs by 284% in global reach
- YouTube has 2.5 billion MAUs as of 2024, surpassing Twitter/X's 556 million MAUs by 350%
Women lead most platforms, while TikTok and youth dominate time spent, engagement, and growth worldwide.
Demographic Breakdown
Demographic Breakdown Interpretation
Engagement Metrics
Engagement Metrics Interpretation
Impact and Trends
Impact and Trends Interpretation
Monetization and Revenue
Monetization and Revenue Interpretation
Platform User Base
Platform User Base Interpretation
Usage Statistics
Usage Statistics 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.
Alexander Schmidt. (2026, February 13). Social Media Comparison Statistics. Gitnux. https://gitnux.org/social-media-comparison-statistics
Alexander Schmidt. "Social Media Comparison Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/social-media-comparison-statistics.
Alexander Schmidt. 2026. "Social Media Comparison Statistics." Gitnux. https://gitnux.org/social-media-comparison-statistics.
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