Gilded Age NYC Shopping Palaces - Outdoor Walking Tour
Gilded Age NYC Shopping Palaces - Outdoor Walking Tour is a 2-hour sightseeing tour in New York. £26.91 — 65% below the New York median tour price of £76.12, across 542 priced tours. It holds a 5.0 out of 5 rating from 8 reviews. Listed under Food & Drink, Tours & Sightseeing, History, Shopping. The median tour price in New York is £76.12, measured across 542 priced tours.
New York⏱ 2 hours★5.0(8 Rating)From £27

Hiding in plain sight is some absolutely *stunning* architecture in NYC that has been turned into...a Home Depot, a Container Store, a TJ Maxx - once majestic marvels of the Gilded Age in NYC where the Astors and Vanderbilts would shop for finery!
Learn about Ladies' Mile, the historic district where women could finally travel solo and gather with other women, bolstering the movement for suffrage.
Hear all about the rivalries and new ideas of historic retail icons like R.H. Macy (seafarer turned entrepreneur), A.T.Stewart (whose grave robbery is still a big mystery) & Isidor Straus (who died on the Titanic).
Explore how ready-to-wear fashion took hold in the US, how advertising matured from street barkers to collectible cards to dazzling window displays, and what happened to all of these grand palaces of consumerism.
**This is an outdoor walking tour - we will be viewing buildings from outside.**
Key facts
- £26.91 — 65% below the New York median tour price of £76.12, across 542 priced tours.
- 2 h — the same as the New York median of 2 h, across 541 tours.
- The median tour price in New York is £76.12, measured across 542 priced tours.
- The 25th-percentile tour price in New York is £38.44, measured across 542 priced tours.
- The 75th-percentile tour price in New York is £192.22, measured across 542 priced tours.
- The median tour in New York runs 2 h, measured across 541 tours with a published duration.
- 98% of New York's 542 categorised tours carry the "Tours & Sightseeing" tag, the most common of 19 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