ManchesterFashion Sounds London: Iconic Fashion & Music Remix Tour
Fashion Sounds London: Iconic Fashion & Music Remix Tour is a 2-hour sightseeing tour in London. £60 — 66% below the London median tour price of £175.92, across 598 priced tours. It holds a 5.0 out of 5 rating from 5 reviews. Listed under Food & Drink, Tours & Sightseeing, Outdoor Activities, History. The median tour price in London is £175.92, measured across 598 priced tours. The 25th-percentile tour price in London is £64.24, measured across 598 priced tours.
London⏱ 2 hours★5.0(5 Rating)From £60
Explore London’s vibrant fashion and music history on an immersive walking and shopping tour that remixes your favourite decades. From the revolutionary styles of the 60's to the eclectic vibes of the 90's, the tour highlights the iconic hotspots that shaped the city’s cultural landscape. Fashion Sounds LDN explores iconic shopping streets, legendary clubs and recording studios where London’s fashion and music history was made. Created by Rachel Bishop, the tour fuses her two great loves, fashion and music, into a curated cultural journey through the city’s most influential style and sound landmarks.
- Discover key locations that influenced London’s style and sound
- Learn from an expert about the cultural significance of each decade
- Enjoy a unique blend of walking, shopping, and historical exploration
Key facts
- £60 — 66% below the London median tour price of £175.92, across 598 priced tours.
- 2 h — 20% shorter than the London median of 2 h 30 min, across 593 tours.
- The median tour price in London is £175.92, measured across 598 priced tours.
- The 25th-percentile tour price in London is £64.24, measured across 598 priced tours.
- The 75th-percentile tour price in London is £345, measured across 598 priced tours.
- The median tour in London runs 2 h 30 min, measured across 593 tours with a published duration.
- 98% of London's 598 categorised tours carry the "Tours & Sightseeing" tag, the most common of 18 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