The competitive outcome and participant data from the annual long-distance running event held in Fargo, North Dakota, for the year 2025 represents a valuable collection of information. This data set typically includes finishing times, placement rankings, participant demographics, and potentially other relevant statistics. An example would be a searchable database containing each runner’s name, bib number, age group, and official time.
Access to this information offers numerous benefits. Runners can analyze their performance, track progress over time, and compare themselves to others in their age group or overall. Event organizers can use the data to understand participation trends, improve race logistics, and tailor future events to participant needs. Furthermore, the historical record of race results provides a valuable perspective on the evolution of the sport and the performance trends within the running community.