Open Airbnb datasets for Oaxaca, Mexico

Oaxaca, Mexico

Total listings: 5,151

Last Updated: 2025-04-29

Download Data

Filter

How many Airbnbs are there in Oaxaca?

There are 2,620 entire homes listed across Airbnb in Oaxaca and the surrounding area, with 2,249 private bedrooms and 149 serviced apartments. The neighbourhood with the most listings is , with 1,405 entire homes costing an average of $1,785 per night. The second most populated neighbourhood for whole rental properties is with 369 listings, followed by with 214 entire homes.

Entire Homes

2,620

Private Rooms

2,249

Serviced Apartments

149

Shared Rooms

Bed Homes

1,249

Bed Homes

788

Bed Homes

408

Bed Homes

175

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

Hut: $1934

Airbnbs charging cleaning fee

44.3%

Average Airbnb cleaning fee

$319.47

Airbnbs charging taxes

97.7%

Average Airbnb taxes

$1333.46

Average Price for Private Rooms

$1044.48

Average Price for Serviced Apartments

$1155.97

Airbnbs charging cleaning fee

44.3%

Avg. Airbnb cleaning fee

$319.47

Airbnbs charging taxes

97.7%

Avg. Airbnb taxes

$1333.46

Avg. Price for Private Rooms

$1044.48

Avg. Price for Serviced Apartments

$1155.97

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 MXN.

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 Oaxaca (4.76) are slightly above the average Airbnb review score across all locations (4.754) Approximately a third 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. 19% of hosts have more than one listing in Oaxaca, also suggesting they are a business.

Hosts

Hosts listed as superhosts

36.5%

Hosts with more than 1 listing

18.8%

35%

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

Hosts with Most Listings

Host Name	No. of Listings	Avg. Review Score
Hotel Las Golondrinas	25	4.83
Erick	25	4.39
Olivia	22	4.93
Rene	20	4.94
Alejandro	20	4.72
Neftali	19	4.78
Carlos	19	4.62
Rolando	18	4.8
Arturo	18	4.68
Ana	17	4.85
Jose Luis	16	4.49
Michele	16	4.79
Gis	16	4.55
Kevin	15	4.52

35%

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
Centro	3,042	1,405	$1,785	729	$1,069	368	$1,603	164	$2,560	1,424	$1,128	4.76
Santa Lucía del Camino	687	369	$1,648	152	$907	103	$1,267	63	$2,007	291	$920	4.76
San Jacinto Amilpas	388	214	$1,620	69	$903	69	$1,216	41	$1,631	159	$1,014	4.77
Santa Cruz Xoxocotlán	365	222	$1,301	66	$824	79	$1,126	52	$1,719	136	$714	4.75
San Andrés Huayápam	145	96	$2,290	34	$1,370	19	$1,363	23	$2,709	44	$756	4.77
San Sebastián Tutla	32	23	$2,329	10	$1,261	2	$1,450	6	$3,232	8	$1,030	4.81
San Antonio de la Cal	25	16	$991	3	$713	8	$926	4	$1,360	9	$394	4.77
San Francisco Tutla	25	23	$2,259	3	$880	5	$1,530	12	$2,049	2	$400	4.74

Show All ▼

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.