Manchester90 minutes Unlimited Wine Dinner
90 minutes Unlimited Wine Dinner is a 2-hour sightseeing tour in Manchester. £40 — 52% below the Manchester median tour price of £84.20, across 476 priced tours. Listed under Arts & Culture, Tours & Sightseeing, History, Food & Drink. The median tour price in Manchester is £84.20, measured across 476 priced tours. The 25th-percentile tour price in Manchester is £45.54, measured across 476 priced tours. The 75th-percentile tour price in Manchester is £160.24, measured across 476 priced tours.
Manchester⏱ 2 hoursFrom £40
It sounds like an exceptional start to the week, doesn’t it? Enjoy a chef-selected three-course Sicilian dinner at Sicilian NQ, paired with unlimited glasses of house red, white or rosé wine for 90 minutes.
The same chef-selected set menu is served to the entire table, creating a relaxed and authentic Sicilian wine experience in the heart of Manchester’s Northern Quarter. Food substitutions are not available.
For 90 minutes, guests can enjoy unlimited refills of house wine, choosing between red, white or rosé. Premium wines are not included.
Perfect for wine lovers looking for a Bottomless Wine Dinner, Italian Wine Experience, Gift Voucher or Sicilian Wine Event in Manchester.
Suitable for vegans and vegetarians.
Please note: We cannot accommodate any food allergies or intolerances.
Key facts
- £40 — 52% below the Manchester median tour price of £84.20, across 476 priced tours.
- 1 h 30 min — 25% shorter than the Manchester median of 2 h, across 476 tours.
- The median tour price in Manchester is £84.20, measured across 476 priced tours.
- The 25th-percentile tour price in Manchester is £45.54, measured across 476 priced tours.
- The 75th-percentile tour price in Manchester is £160.24, measured across 476 priced tours.
- The median tour in Manchester runs 2 h, measured across 476 tours with a published duration.
- 98% of Manchester's 476 categorised tours carry the "Tours & Sightseeing" tag, the most common of 14 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