Clúster

• Initial forecasts exceeded with average stays of 4 nights and an international tourist influx of over 21%
• Data from the Monitoring and Data Analysis System for Accommodations (SIMADA), based on inputs from participating Galician lodging establishments

Galicia ended Easter Week with an average occupancy rate from Monday to Sunday close to 58%, a figure that rose to 77%, 74%, and 78% on Thursday, Friday, and Saturday, respectively. This is considered a positive outcome, especially given the poor weather conditions experienced in Galicia in recent days.

According to data from the SIMADA application (Monitoring and Data Analysis System for Accommodations), recently launched by the Galicia Tourism Cluster, the average stay was four nights—one night more than initially forecasted. The majority of tourists were domestic (around 78%), with most coming from within Galicia itself, followed by travelers from Madrid and, at a greater distance, from Castilla y León, Andalusia, and Asturias.

The proportion of international tourists surpassed 21%, compared to the 8% indicated by early-week bookings, when a large portion of travelers had not yet specified their origin. The most common countries of origin among international tourists were Portugal, the United States, and Germany.

As for the average price per night, it was ultimately €70.85, slightly below the forecasted €74. Due to the unfavorable weather, some accommodations chose to lower prices in order to maintain or boost occupancy levels.

SIMADA

These figures come from SIMADA, a tool for monitoring and analyzing data on occupancy rates, forecasts, pricing, and more. It has been made available free of charge by the Galicia Tourism Cluster to lodging companies, with the aim of aiding decision-making and increasing competitiveness. Among other benefits, the application allows accommodation providers to adjust room rates or apply discounts, offers insights into the profiles of visiting travelers to fine-tune communication strategies, and provides information on occupancy levels—all while guaranteeing the confidentiality of the data provided to the platform.