Christmas is just around the corner, and for this reason, Google has revealed some details about how its applications are especially useful during this festive period. The technology giant has shared data extracted from Google Maps, offering a revealing view of movement patterns during the Christmas holidays.

In an analysis of traffic patterns from last December throughout Spain, Google Maps has highlighted key moments to facilitate travel. The most notable data reveals that the early morning of December 23 is the best time to start trips, highlighting the low traffic congestion on those days. However, cities like Barcelona, ??Seville and Valencia show unique trends, with their residents leaving before 6 a.m., while Madrid residents wait until 7 a.m.

For those planning to travel on Christmas Eve, it is advised to avoid the roads after 4pm, a period that sees some of the highest traffic volumes. On Christmas Day, according to Google Maps, the best time to leave home is before 11 in the morning, while the worst time is after 5 in the afternoon.

Google Maps not only focuses on commuting, but also reveals the busiest places during the holiday season. Throughout Spain, supermarkets and neighborhood stores reach their peak on Saturdays at noon. However, Monday afternoons in Barcelona and Madrid offer a quieter shopping experience.

For those who plan to send gifts by mail, Google suggests visiting post offices on Wednesday afternoons around eight to avoid crowds, while Mondays at noon are the busiest times. If you’re looking to avoid the crowds at shopping malls, opt for Mondays at three in the afternoon, while Saturdays at noon are the worst times to deal with the crowds.

This data provided by Google offers valuable insight for those looking to organize their activities during the holiday season. By understanding traffic trends, crowds at popular locations, and optimal times for various activities, you can plan your festivities more efficiently. Get ready for a smooth Christmas with the help of Google technology and data!