The Galician tourism sector’s forecasts for this Easter indicate a booking book of 45% across Galicia, with an increase of up to nearly 60% for nights from Thursday to Saturday. This data is from the SIMADA (Accommodation Data Monitoring and Analysis System) application, launched by the Galician Tourism Cluster.
It should be noted that these data may vary, as bookings for this time of year are especially influenced by weather forecasts. SIMADA data indicates an average stay of three days and a visitor profile that is predominantly domestic (around 65%). International tourism will exceed 8%, mainly from Portugal and the United Kingdom. Twenty-seven percent of reservations do not specify the origin of the visitor.
Regarding the price per night, the average for all accommodations is 74 euros from Monday to Wednesday and 81 euros from Thursday to Saturday. By category, five- and four-star hotels average 172 euros and 109 euros per night, respectively; while in lower categories, prices drop to around 90 euros in three-star hotels, 73 euros in two-star hotels, and 64 euros in one-star hotels.
In hostels, depending on the category, prices range from 53 euros per day to 22 euros per night. Three-star guesthouses experience a sharp increase at the start of the holidays, with a nightly price of 165 euros per night, while two-star hotels maintain an average price of 70 euros. In rural tourism, a village house, which is usually in high demand, has an average price of 90 euros per day throughout the week.
SIMADA
SIMADA is a tool for monitoring and analyzing occupancy data, forecasts, prices, and other information. The Galician Tourism Cluster makes it available free of charge to accommodation companies to facilitate decision-making and increase their competitiveness. Among other advantages, the application allows for decisions on room rates and the application of discounts; it provides data on the type of traveler visiting our site so we can establish communication strategies tailored to that profile; it provides information on occupancy rates, all while ensuring the confidentiality of the data submitted to the platform.