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TikTok Daily Active Rate by Age in Germany — Q1 2025

Results as of

Review Q1 2025: 16–24-year-olds open TikTok on 91% of observed days — near-daily for every cohort

TikTok Daily Active Rate by Age in Germany — Q1 2025Bar chart showing average daily-active rate (share of observed days with ≥1 watch event) by age cohort. Rates range from 78% (35–44) to 91% (16–24), with all other cohorts between 83–88%. Error bars or ranges may be included to show variation. TikTok's consistency across age cohorts aligns with global usage patterns, where the app has become a daily habit even for older demographics. While daily active rates converge, per-user watch volume diverges sharply by age, indicating that older cohorts 'check in' to the app with less intensity — shorter or fewer sessions per day — while Gen Z sustains longer and more frequent engagement windows.
Bar chart showing average daily-active rate (share of observed days with ≥1 watch event) by age cohort. Rates range from 78% (35–44) to 91% (16–24), with all other cohorts between 83–88%. Error bars or ranges may be included to show variation. TikTok's consistency across age cohorts aligns with global usage patterns, where the app has become a daily habit even for older demographics. While daily active rates converge, per-user watch volume diverges sharply by age, indicating that older cohorts 'check in' to the app with less intensity — shorter or fewer sessions per day — while Gen Z sustains longer and more frequent engagement windows.
Info
Sample size
n = 698
Data date
Q1 2025
Segment
All segments
Platform
TikTok
Market
Germany

Analysis

TikTok displays habit-forming behavior across all ages in Germany. Even the cohort with the lowest daily-active rate — 35–44-year-olds at 78% — opens the app on roughly 4 out of 5 days. The 16–24 group reaches 91%, while 25–34, 45–54, and 55+ range between 83–88%. This consistency suggests that TikTok has achieved quasi-daily status regardless of age; differences in total consumption stem from session count and length, not visit frequency.

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Methodology

Per-user metric: active days ÷ total observed days within Q1 2025. Observed days defined as the span from first to last watch event for each user. Reported as unweighted mean (average) by cohort. Sample: 698 users (16–24 n=173, 25–34 n=202, 35–44 n=192, 45–54 n=80, 55+ n=51).

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