Ever Fortune Guest House

Name: Ever Fortune Guest House
Address: Room B, 4F, Kingland Apartments, No.737 Nathan Road, Kowloon, Kowloon, Kowloon, China
Rating: 0

3.1 kmfrom the city center

302 mfrom subway station Prince Edward

from 5,922 ₽

Main amenities of the guest house

Air-conditioning

Location

Prince Edward • 300 m
Mong Kok • 330 m
Mong Kok East • 460 m
Hong Kong Museum of History • 2.4 km
Wan Chai Star Ferry Pier • 4.4 km

Available rooms

Enter your dates of travel and we will display the current prices

No dates selected

If you don't know the specific dates yet, select approximate dates to see the price estimates.

Location

Room B, 4F, Kingland Apartments, No.737 Nathan Road, Kowloon

Places of interest
Hong Kong Museum of History • 2.4 km
Wan Chai Star Ferry Pier • 4.4 km
Hong Kong Park • 4.9 km
Time Square Hong Kong • 5.0 km
Victoria Peak Garden • 5.7 km
Peak Tower • 5.9 km
Ocean Park • 9.8 km
Hong Kong Disneyland Resort • 13.1 km
Luohu Port • 23.8 km
Luohu Commercial City • 24.1 km

Airports
Shenzhen Bao'an International Airport • 50.9 km
Hong Kong International Airport • 23.9 km
Hong Kong Harbour • 8.9 km
Fuyong Ferry Port • 27.0 km

Subway
Prince Edward • 300 m
Mong Kok • 330 m
Mong Kok East • 460 m
Airport North • 53.4 km

Description of the guest house

Location

The main advantage of a guest house is home comfort. Guest house «Ever Fortune Guest House» is located in Kowloon. This guest house is located in 3 km from the city center. You can take a walk and explore the neighbourhood area of the guest house — Prince Edward, Hong Kong Museum of History and Wan Chai Star Ferry Pier.

At the guest house

Accessibility: there is an elevator/lift.

Room amenities

In the room, for you, there is a TV and slippers. Please note that the listed services may not be available in all the rooms.

Facts about the guest house

Type of electrical socket

Type A

220 V / 50 Hz

Type G

220 V / 50 Hz

Type I

220 V / 50 Hz

Number of rooms

7 rooms

What other amenities are there?

General

Air conditioning
Elevator/lift
Television in lobby
Fire Extinguisher

Rooms

Non-smoking rooms
Cable TV
TV
Bathtub
Slippers

Services and amenities

Luggage storage

Meals

Coffee/tea for guests
Kettle

Policies

Check-in terms and conditions

Check-in and check-out

Check-in
After 14:00

14:00

Check-out
Until 12:00

12:00

Additional information

China has restrictions on geographic information data and uses a data blurring algorithm that adds random offsets to latitude and longitude data for national security purposes.

Check-in and Check-out Times

Check-in: After 14:00
Check-out: Before 12:00
Front desk hours: [Mon-Sun]08:00–23:59
Self check-in: Contact the property for instructions on how to obtain the card/keys
The property will provide check-in details after booking
If you will arrive outside of check-in hours, contact the property 1 day in advance by phone
To check in, provide the following 2 days in advance: their check-in time, their flight information

Child Policies

Children aged 3 and above are welcome at this hotel.
Children between 3 and 9 years old can stay for free if no extra bed is needed.

Cribs and Extra Beds

For all room types, cribs and extra beds cannot be added.

Breakfast

Breakfast not provided.

Pets

Pets are not allowed

Age Requirements

The guest checking in must be between 18–70 years old.

Payment

In the guest house

In cash
In the currency of the guest house — HKD

On the website

Some rates can be paid by bank card when booking online. You can use points to make a partial or full payment of your booking. You can pay for your booking by using a promo code if you have one.

The prices are lower in the mobile app

For corporate clients

If you'd like to pay for the order by wire transfer as a legal entity, please send an e-mail to corp@ostrovok.ru

Learn more

Mobile app

Our app has lower prices and more options! You can also pay by Apple Pay and Android Pay there. Besides, you can easily access your booking vouchers in your personal account even if you're offline.

Policy on storage and handling of personal data Recommendation technologies are used