Hotels in Kampen

Find the best deals on 175 hotels in Kampen, Germany

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Top Hotels in Kampen

Find the perfect Kampen hotel for business or leisure


Things to do in Kampen

Red Cliff

How much are hotels near Red Cliff?

The average price for hotels near Red Cliff is $198 per night. Of those hotels, momondo users recommend the 12 hotels below for those looking to stay in the area. Since Red Cliff is more popular at some times of year than others, prices may vary depending on when you plan your trip. Hotels near Red Cliff are typically 26% less expensive than the average hotel in Kampen, which is $268.

Hotels near Red Cliff

When to book a hotel in Kampen

Check out the information below to find the best deal on a Kampen hotel room
Low Season
November
High Season
September

cheapest month to stay

31%

expected price decrease

most expensive time to stay

18%

expected price increase

Price
$173 - $300
Highest day of week
Friday
Cheapest day of week
Sunday

av. price over the last two weeks

Average price (weeknight)

$252

av. price over the last two weeks

av. price over the last two weeks

Average price (weekend night)

$210

av. price over the last two weeks

Hostels and cheap hotels in Kampen

These hotels and hostels usually make for a cheap way to stay in Kampen


Kampen travel information

How long do people stay in Kampen?

3 nights is the typical length of stay for people visiting Kampen.

How much does a hotel cost in Kampen?

Hotels in Kampen show a range of prices for their rooms. These are determined by factors such as availability, locale and amenities. On average, rooms will be around $164 per night.

When is the best time to book a hotel in Kampen?

Kampen hotels are at their most economical to book in the month of November. The rates you are charged may be 31% lower than in the high season and is the best time to get a great deal.

Which day is cheapest to stay in Kampen?

The cost of a Kampen hotel room will vary for each day but generally Saturday works out the most economical, with Thursday proving the least economical.