ManchesterBerlin Self-Guided City Exploration Game for Family with Kids 5-9
Berlin Self-Guided City Exploration Game for Family with Kids 5-9 is a 2-hour sightseeing tour in Berlin. £12.94 — 83% below the Berlin median tour price of £77.21, across 594 priced tours. It holds a 5.0 out of 5 rating from 1 reviews. Listed under Tours & Sightseeing, History, Outdoor Activities, Family Friendly. The median tour price in Berlin is £77.21, measured across 594 priced tours. The 25th-percentile tour price in Berlin is £25.02, measured across 594 priced tours.
Berlin⏱ 2 hours★5.0(1 Rating)From £13
Exploring city with kids is usually tough, but not with us! Get ready to turn Berlin's historic streets into your personal family adventure playground with our captivating scavenger hunt! This 3 km journey through the heart of the German capital will fascinate, excite, and teach you a lot about Berlin's history and culture!
Here's why this adventure is a must:
* 11 exciting stops, including Alexanderplatz, the TV Tower, Hackesche Höfe, the Gate of Sanchi, and Museum Island!
* Average of 230 meters between stations – perfect for kids!
* 2.5 to 3 hours of exciting exploration, depending on how often you stop for a delicious currywurst.
* Ideal for families, friends, and even school groups!
* Perfect for curious minds aged 5 to 9, but adults will find Berlin's historical sights exciting too!
Key facts
- £12.94 — 83% below the Berlin median tour price of £77.21, across 594 priced tours.
- 2 h — 33% shorter than the Berlin median of 3 h, across 593 tours.
- The median tour price in Berlin is £77.21, measured across 594 priced tours.
- The 25th-percentile tour price in Berlin is £25.02, measured across 594 priced tours.
- The 75th-percentile tour price in Berlin is £211.01, measured across 594 priced tours.
- The median tour in Berlin runs 3 h, measured across 593 tours with a published duration.
- 98% of Berlin's 594 categorised tours carry the "Tours & Sightseeing" tag, the most common of 17 categories in the city.
Figures are computed from our own dataset at build time; each line states the sample it is based on. How we calculate these