Short Term Rental Data from Transparent now available in CARTO

Similar to other tourism-driven industries, the short-term rental market has struggled during the COVID-19 pandemic. March and April, when the virus first hit, saw a wave of cancellations that left some property owners fearing their ability to continue operating. Many switched their units to long-term rentals as a result.

In May, Airbnb announced plans to cut about 1,900 staff, raise $2 billion through the debt sales and undertake a complete reassessment of operations. Airbnb is expected to raise $3 billion during its IPO next month (valuing it at $30 billion) and as the short-term rental market recovers having access to high quality data will be crucial in order to determine where to focus these efforts and resources.

Today we are very pleased to announce our partnership with Transparent, a global leader in providing data intelligence for the short-term rental industry, and the inclusion of their data in our Data Observatory.

State of the Vacation Rental Market

Transparent analyzes and collects data from 35 million Airbnb, Vrbo, & booking.com vacation rental listings worldwide to deliver powerful data insights.

Transparent Listing Count using latest available data from 2020 & including a comparison of 2019 to 2020:

Property managers, hosts, tourism bodies, hotels, distributors, investors, and local government bodies can use this data to make smarter, fact-based decisions in the short term rental industry. Transparent’s data can provide insight on market conditions, such as supply growth, demand patterns, pricing changes, and property management activities.

The maps below visualize the following data sets at NUTs 2 level across Europe:

• Average daily rate in USD
• Demand in reservations

If you are looking to understand more about how you might use Location Intelligence in your organization, you can explore our Customer Stories library here - or, you can speak to one of our spatial data experts to discuss potential use cases - simply contact us here.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 960401.