Open Airbnb datasets for Lausanne, Switzerland

Lausanne, Switzerland

Total listings: 1,436

Last Updated: 2025-07-06

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How many Airbnbs are there in Lausanne?

There are 934 entire homes listed across Airbnb in Lausanne and the surrounding area, with 483 private bedrooms and 5 serviced apartments. The neighbourhood with the most listings is , with 319 entire homes costing an average of 134fr per night. The second most populated neighbourhood for whole rental properties is with 206 listings, followed by with 105 entire homes.

Entire Homes

934

Private Rooms

483

Serviced Apartments

Shared Rooms

Bed Homes

526

Bed Homes

158

Bed Homes

Basic Pricing

Average Price per night per Bedrooms

for entire homes and serviced apartments

Average Price per night per Bedrooms

for entire homes and serviced apartments

Average Price per night per Max. Guests

for entire homes and serviced apartments

Average Price per Review Score

Average Price for Other Property Types

Campervan/Motorhome: 173fr

Airbnbs charging cleaning fee

51.6%

Average Airbnb cleaning fee

68.26fr

Airbnbs charging taxes

78.5%

Average Airbnb taxes

15.76fr

Average Price for Private Rooms

71.25fr

Average Price for Serviced Apartments

126.75fr

Airbnbs charging cleaning fee

51.6%

Avg. Airbnb cleaning fee

68.26fr

Airbnbs charging taxes

78.5%

Avg. Airbnb taxes

15.76fr

Avg. Price for Private Rooms

71.25fr

Avg. Price for Serviced Apartments

126.75fr

Basic pricing is taken from the date of data collection for 1 guest. This is the average price over the first 5 consecutive days the listing is available for, within the next two months. Where these conditions are not satisfied, no pricing data is recorded. Full weekly pricing and daily availability data is available on request. All prices are in CHF.

Doorstep Analytics offers comprehensive holiday rental datasets, including detailed pricing, availability, and estimated income. You can access the complete dataset directly or request a tailored analytics report to address specific questions and insights.

Reviews

Rating per Airbnb Listing

Number of Reviews on each Listing

Airbnb review scores in Lausanne (4.73) are slightly below the average Airbnb review score across all locations (4.754) Nearly half of Airbnb listings use self-check in, with lockboxes, keypads or similar. This implies the property is in regular use as an Airbnb listing, or is run as part of a professional business. 10% of hosts have more than one listing in Lausanne, also suggesting they are a business.

Hosts

Hosts listed as superhosts

22.8%

Hosts with more than 1 listing

9.9%

38%

of listings welcome guests with lockboxes or other self check-in methods

Hosts with Most Listings

Host Name	No. of Listings	Avg. Review Score
Homenhancement	112	4.14
Jorge	47	4.76
Yessica	24	None
Awni Mohamed	22	4.52
CoucouNCo	19	4.39
Simplon Lausanne Gare	17	4.49
Nicolas Nelson	16	4.59
Inès	16	4.31
Léman	14	4.63
Maxime	12	4.71
Danièle	11	4.76
Barth	10	4.83
Le Débarcadère	9	4.89
Maimouna	9	4.83

38%

of listings welcome guests with lockboxes or other self check-in methods

Neighbourhoods

	Total	All Entire Homes		1-Bed Homes		2-Bed Homes		3-Bed Homes		Private Rooms		Reviews
	Count	Count	Avg. Price	Count	Avg. Price	Count	Avg. Price	Count	Avg. Price	Count	Avg. Price	Avg. Score
Pully	438	319	134fr	193	122fr	40	179fr	13	199fr	112	73fr	4.72
Prilly	336	206	126fr	126	107fr	44	159fr	14	215fr	126	70fr	4.73
Epalinges	147	105	163fr	30	129fr	16	178fr	4	168fr	40	60fr	4.69
Lutry	76	51	184fr	25	133fr	9	205fr	10	225fr	25	72fr	4.78
Renens	54	29	167fr	13	106fr	9	166fr	3	313fr	25	71fr	4.69
Crissier	44	11	89fr	8	87fr	2	90fr	0	-	33	62fr	4.73
Morges	33	18	172fr	6	136fr	5	137fr	3	136fr	13	87fr	4.82
Saint-Sulpice	25	17	171fr	9	136fr	4	233fr	2	194fr	8	90fr	4.85
Bussigny	22	9	125fr	7	121fr	1	132fr	1	140fr	12	58fr	4.88
Centre-Ville	20	18	120fr	15	108fr	2	145fr	1	254fr	2	123fr	4.40
Ecublens	17	9	165fr	6	116fr	2	212fr	1	317fr	8	83fr	4.75
Préverenges	16	10	182fr	3	105fr	5	207fr	2	285fr	6	63fr	4.83

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Neighbourhoods are provided by user input in Airbnb. Where this data is not provided on Airbnb, a kNN machine learning model categorises listings into their most likely neighbourhood. Translated city names and names of large regions are removed where possible.