Signy House Hotel & Apartments Bach Dang River - Doan Nhu Hai

HeadLine : Near Saigon Square

Location : With a stay at Signy House Hotel & Apartments Bach Dang River - Doan Nhu Hai in Ho Chi Minh City (District 4), you ll be within a 5-minute drive of Bui Vien Walking Street and Ben Thanh Market. This aparthotel is 0.6 mi (1 km) from Dong Khoi Street and 0.4 mi (0.7 km) from Saigon River.

Rooms : Make yourself at home in one of the 12 individually furnished guestrooms, featuring kitchens with refrigerators and stovetops. Your room comes with a memory foam bed. 55-inch flat-screen televisions with digital programming provide entertainment, while complimentary wireless internet access keeps you connected. Conveniences include desks and separate sitting areas, and housekeeping is provided on request.

Dining : Satisfy your appetite at the aparthotel s coffee shop/cafe.

CheckIn Instructions :

• Extra-person charges may apply and vary depending on property policy
• Government-issued photo identification and a credit card, debit card, or cash deposit may be required at check-in for incidental charges
• Special requests are subject to availability upon check-in and may incur additional charges; special requests cannot be guaranteed
• This property only accepts cash
• This property uses eco-friendly cleaning products
• Host has not indicated whether there is a carbon monoxide detector on the property; consider bringing a portable detector with you on the trip
• Host has not indicated whether there is a smoke detector on the property
• Safety features at this property include a fire extinguisher, window guards, and outdoor lighting

Special Instructions : The front desk is open daily from 7:00 AM - 5:00 PM. To make arrangements for check-in please contact the property at least 24 hours before arrival using the information on the booking confirmation. Guests must contact the property in advance for check-in instructions. The front desk is staffed during limited hours. Information provided by the property may be translated using automated translation tools.