# Weekly Watch-Time Distribution among Active YouTube Users in Germany — 2025

> Median active YouTube user in Germany watches 111 minutes per active week (≈1h 51m)

**Period:** 2025  
**Market:** DE  
**Data status:** final  
**Data as of:** 2026-04-27T16:16:37.405483+00:00  
**Sample size:** n = 23,998  
**Effective sample size:** 14,998  
**Source:** [https://www.datapods.app/en/insights/media/video-streaming/youtube-weekly-watch-time-distribution-germany-2025](https://www.datapods.app/en/insights/media/video-streaming/youtube-weekly-watch-time-distribution-germany-2025)

## Segments

- **Years:** 2025
- **Platform:** youtube

## Summary

Active YouTube users in Germany exhibit a wide distribution of weekly viewing intensity. The median user watches 111 minutes (1 hour 51 minutes) per active week, while the top quartile exceeds 7 hours and the heaviest 10% exceed 18 hours per week. This distribution reflects YouTube's role as both a casual browsing habit and a dominant entertainment medium across German households.

## Chart

Distribution of weekly content watch-time among active YouTube users in Germany, 2025, showing median of 111 minutes and top quartile exceeding 7 hours per active week.

## Methodology

Per-user content watch-time across 2025 divided by that user's active-weeks count (weeks with ≥1 watch event). Quantiles weighted to AGOF de_online_population marginals. Sample n=23,998 active panelists; effective sample size (ESS)=14,998.

## Citation

Datapods (2026-04-27). *Weekly Watch-Time Distribution among Active YouTube Users in Germany — 2025*. Datapods Insights. https://www.datapods.app/en/insights/media/video-streaming/youtube-weekly-watch-time-distribution-germany-2025

## About Datapods

Datapods is a behavioral consumer-data platform. The Insights library publishes free, citable statistics derived from a panel of 25,000+ opted-in participants in Germany: observed real behavior (transactions, browsing, media), not surveys. All data is processed within the EU and is GDPR-compliant.

For brand-specific cuts, competitor benchmarks, and granular audience filters across 12,000+ tracked brands, see [https://www.datapods.app/en](https://www.datapods.app/en).