This comparison provides insights into the user demographics across different social media platforms to help you understand where your target audience might be most active. Data is based on recent global statistics and may vary by region.
| Platform | 13-17 | 18-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65+ |
|---|---|---|---|---|---|---|---|
| Bluesky | 3% | 15% | 42% | 25% | 10% | 4% | 1% |
| 5% | 18% | 24% | 21% | 15% | 10% | 7% | |
| GitHub | 5% | 28% | 39% | 18% | 7% | 2% | 1% |
| 8% | 31% | 31% | 16% | 8% | 4% | 2% | |
| <1% | 20% | 37% | 24% | 11% | 6% | 2% | |
| Mastodon | 2% | 15% | 40% | 30% | 10% | 2% | 1% |
| 4% | 21% | 34% | 25% | 9% | 5% | 2% | |
| 7% | 29% | 34% | 18% | 8% | 3% | 1% | |
| Snapchat | 22% | 30% | 30% | 13% | 3% | 1% | <1% |
| Telegram | 5% | 27% | 35% | 20% | 8% | 4% | 1% |
| TikTok | 25% | 22% | 22% | 15% | 10% | 5% | 1% |
| Twitch | 21% | 32% | 26% | 13% | 5% | 2% | 1% |
| VK | 10% | 25% | 30% | 20% | 10% | 4% | 1% |
| X (formerly Twitter) | 6% | 17% | 38% | 21% | 11% | 5% | 2% |
| YouTube | 16% | 21% | 23% | 18% | 11% | 7% | 4% |
| Platform | Male | Female | Non-binary/Other |
|---|---|---|---|
| Bluesky | 58% | 38% | 4% |
| 43% | 56% | 1% | |
| GitHub | 72% | 25% | 3% |
| 48% | 52% | <1% | |
| 52% | 48% | <1% | |
| Mastodon | 60% | 35% | 5% |
| 40% | 60% | <1% | |
| 62% | 38% | <1% | |
| Snapchat | 47% | 53% | <1% |
| Telegram | 56% | 44% | <1% |
| TikTok | 43% | 57% | <1% |
| Twitch | 65% | 35% | <1% |
| VK | 47% | 53% | <1% |
| X (formerly Twitter) | 56% | 42% | 2% |
| YouTube | 54% | 46% | <1% |
| Platform | High School or Less | Some College | College Degree | Advanced Degree |
|---|---|---|---|---|
| Bluesky | 10% | 25% | 45% | 20% |
| 25% | 30% | 35% | 10% | |
| GitHub | 12% | 23% | 45% | 20% |
| 25% | 35% | 32% | 8% | |
| 8% | 15% | 52% | 25% | |
| Mastodon | 10% | 20% | 45% | 25% |
| 20% | 35% | 35% | 10% | |
| 15% | 35% | 40% | 10% | |
| Snapchat | 35% | 40% | 20% | 5% |
| Telegram | 20% | 30% | 40% | 10% |
| TikTok | 35% | 35% | 25% | 5% |
| Twitch | 25% | 40% | 30% | 5% |
| VK | 25% | 35% | 35% | 5% |
| X (formerly Twitter) | 20% | 32% | 38% | 10% |
| YouTube | 25% | 30% | 35% | 10% |
| Platform | Lower Income | Middle Income | Upper Middle | High Income |
|---|---|---|---|---|
| Bluesky | 15% | 35% | 35% | 15% |
| 25% | 45% | 20% | 10% | |
| GitHub | 18% | 42% | 30% | 10% |
| 25% | 40% | 25% | 10% | |
| 10% | 35% | 40% | 15% | |
| Mastodon | 15% | 40% | 35% | 10% |
| 20% | 45% | 25% | 10% | |
| 20% | 45% | 25% | 10% | |
| Snapchat | 30% | 45% | 20% | 5% |
| Telegram | 25% | 40% | 25% | 10% |
| TikTok | 30% | 40% | 20% | 10% |
| Twitch | 25% | 45% | 25% | 5% |
| VK | 25% | 45% | 25% | 5% |
| X (formerly Twitter) | 22% | 38% | 28% | 12% |
| YouTube | 25% | 40% | 25% | 10% |
| Platform | Strongest Regions | Secondary Regions | Growing Markets |
|---|---|---|---|
| Bluesky | North America, Europe | Japan, Brazil | India, Australia |
| North America, India, Brazil | Europe, Southeast Asia | Africa, Middle East | |
| GitHub | North America, Europe, India | China, Japan, Brazil | Southeast Asia, Africa |
| US, India, Brazil, Indonesia | Europe, Japan, Mexico | Middle East, Africa | |
| USA, India, Europe | Brazil, Canada, Australia | Middle East, Southeast Asia | |
| Mastodon | Europe, North America | Japan, Brazil | Australia, Korea |
| USA, Brazil, Mexico | Germany, France, UK | Japan, India | |
| USA, UK, Canada | Australia, Germany, France | India, Brazil, Philippines | |
| Snapchat | USA, India, France | UK, Mexico, Brazil | Middle East, Southeast Asia |
| Telegram | Russia, Iran, Eastern Europe | India, Brazil, Southeast Asia | Latin America, Middle East |
| TikTok | USA, Indonesia, Brazil | Russia, Mexico, Japan | Europe, India |
| Twitch | North America, Europe | Brazil, Korea, Japan | Latin America, Australia |
| VK | Russia, Belarus, Kazakhstan | Ukraine, other post-Soviet states | Russian-speaking diaspora |
| X (formerly Twitter) | USA, Japan, UK | Brazil, India, Canada | Indonesia, Nigeria, Mexico |
| YouTube | Global (nearly universal) | Strongest in US, India, Brazil | Growing in all markets |
| Platform | Top Industries | Secondary Industries | Underrepresented Industries |
|---|---|---|---|
| Bluesky | Technology, Media, Academia | Arts, Publishing, Politics | Manufacturing, Retail, Healthcare |
| Retail, Entertainment, Food & Beverage | Education, Local Services, Non-profits | Finance, Legal, Engineering | |
| GitHub | Software Development, Data Science | Design, Education, Research | Non-technical fields |
| Fashion, Beauty, Food | Travel, Fitness, Art | Finance, Manufacturing, B2B | |
| Technology, Finance, Healthcare | Education, Marketing, Manufacturing | Arts, Agriculture, Service Industry | |
| Mastodon | Technology, Academia, Creative Arts | Journalism, Non-profits, Gaming | Retail, Manufacturing, Healthcare |
| Home Decor, Fashion, Food | DIY, Wedding, Beauty | Finance, Technology, B2B | |
| Technology, Gaming, Science | Finance, Sports, Arts | Traditional Retail, Manufacturing | |
| Snapchat | Entertainment, Fashion, Media | Education, Food, Music | Finance, Healthcare, B2B |
| Telegram | Technology, Cryptocurrency, Media | Politics, Education, Gaming | Traditional Retail, Healthcare |
| TikTok | Entertainment, Fashion, Food | Fitness, Education, Music | Finance, Manufacturing, B2B |
| Twitch | Gaming, Technology, Music | Art, Fitness, Education | Finance, Healthcare, Manufacturing |
| VK | Retail, Entertainment, Education | Technology, Food, Local Services | Global B2B, Healthcare |
| X (formerly Twitter) | Media, Technology, Politics | Entertainment, Sports, Marketing | Manufacturing, Agriculture, Trades |
| YouTube | Entertainment, Education, Technology | Gaming, Music, Fitness | Traditional B2B, Manufacturing |
| Platform | Peak Usage Times | Average Daily Time | Mobile vs. Desktop | Browsing vs. Creating |
|---|---|---|---|---|
| Bluesky | Weekdays, variable | 20 minutes | 60% mobile | 60% browsing, 40% creating |
| Evenings, weekends | 33 minutes | 85% mobile | 80% browsing, 20% creating | |
| GitHub | Weekdays, variable | 45 minutes (developers) | 70% desktop | 60% creating, 40% browsing |
| Evenings, lunch breaks | 53 minutes | 95% mobile | 75% browsing, 25% creating | |
| Tues-Thurs, 9am-5pm | 17 minutes | 57% mobile | 85% browsing, 15% creating | |
| Mastodon | Evenings, weekdays | 25 minutes | 55% mobile | 50% browsing, 50% creating |
| Evenings, weekends | 14 minutes | 85% mobile | 90% browsing, 10% creating | |
| Evenings, lunch breaks | 31 minutes | 70% mobile | 90% browsing, 10% creating | |
| Snapchat | Throughout day, evenings | 30 minutes | 99% mobile | 50% browsing, 50% creating |
| Telegram | Throughout day | 25 minutes | 90% mobile | 40% browsing, 60% creating |
| TikTok | Evenings, weekends | 95 minutes | 95% mobile | 90% browsing, 10% creating |
| Twitch | Evenings, weekends | 95 minutes | 60% mobile | 95% browsing, 5% creating |
| VK | Throughout day | 35 minutes | 75% mobile | 70% browsing, 30% creating |
| X (formerly Twitter) | Weekdays, 8am-4pm | 31 minutes | 80% mobile | 70% browsing, 30% creating |
| YouTube | Evenings, weekends | 40+ minutes | 70% mobile | 95% browsing, 5% creating |