ManchesterLuggage Storage in Rome City Center
Luggage Storage in Rome City Center is a 10-hour sightseeing tour in Rome. £4.31 — 97% below the Rome median tour price of £129.39, across 587 priced tours. It holds a 5.0 out of 5 rating from 51 reviews. Listed under Tours & Sightseeing, Classes & Workshops, Budget Friendly. The median tour price in Rome is £129.39, measured across 587 priced tours. The 25th-percentile tour price in Rome is £69.01, measured across 587 priced tours.
Rome⏱ 10 hours★5.0(51 Rating)From £4
WHY CHOOSE YOUR LOCAL X LUGGAGE STORAGE IN ROME?
Avoid wasting valuable time waiting in line at crowded train station luggage facilities.
CENTRAL LOCATION
Our luggage storage is conveniently located in central Rome, within easy reach of some of the city’s most famous attractions, including the Trevi Fountain, Piazza Venezia, the Spanish Steps and the Colosseum.
SAFE AND INSURED LUGGAGE STORAGE
Every bag deposited with us is also insured by Generali Assicurazioni against damage, loss or theft, with coverage of up to €500 per item.
You can enjoy Rome with peace of mind, knowing that your belongings are being looked after by our on-site staff.
AFFORDABLE AND CONVENIENT
There is no need to choose a specific arrival time when booking. On the selected day, you can drop off your luggage at any time during our opening hours, from 9:00 AM to 7:00 PM, without any change to the price.
Key facts
- £4.31 — 97% below the Rome median tour price of £129.39, across 587 priced tours.
- 10 h — 233% longer than the Rome median of 3 h, across 580 tours.
- The median tour price in Rome is £129.39, measured across 587 priced tours.
- The 25th-percentile tour price in Rome is £69.01, measured across 587 priced tours.
- The 75th-percentile tour price in Rome is £286.40, measured across 587 priced tours.
- The median tour in Rome runs 3 h, measured across 580 tours with a published duration.
- 99% of Rome's 587 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