Data generated from the annual 13.1-mile footrace through Brooklyn provides a wealth of information. This data typically includes finishing times for each participant, categorized by gender, age group, and sometimes location. Often, it also incorporates details like pace, overall placement, and age group ranking. Example data points might include the winning time, average finishing time, and number of finishers.
Access to this information offers significant value for various stakeholders. Runners can analyze their performance, track progress over time, and compare themselves to others. Coaches can utilize the data to assess training effectiveness and identify areas for improvement. Race organizers benefit from the data by understanding participant demographics and improving future events. Furthermore, the historical record of these outcomes provides a fascinating perspective on the evolution of the race and the overall trends in long-distance running.