5 Incredible Stats from Analysing More Than 10,000 Runners in Singapore

In May, we decided to do something amazing for you all. Taking suitable results from our database, compiled anonymously from over 10,000 runners in our database, we analysed and visualised them as an animated infographic for easy and fun viewing. This is what we’ve discovered.

Head over to https://liv3ly.com/campaign/group-solo2016/infograph to see the animated infographic.

Starting the Run Early

Analysis has shown runners who start the race at 6.30 am instead of 9.30 am run on average, 18 minutes longer. This shows that starting the race early may have a positive impact on your endurance. If you want to take your fitness up a notch, perhaps it’s time to start early too.   

Male Runners Are Faster

Men and women are made equal, no doubt. But on the running field, we still have to defer to the men. Looking at the differences in race timings between both genders, we found male runners clock a performance timing approximately 10 minutes faster than their female counterparts. Race on, ladies, and the next analysis may see you take the leap.

Age Has Little Impact On Race Performance

On average, the performance difference between a 20-year-old runner and an 80-year-old runner is approximately 9 seconds apart. This surprising stats reveals with the right training and diet, athletes can maintain their fitness through the golden years, and more.

Overseas Runners Are On the Faster Lane

Foreign athletes who come to Singapore to race are on average, three minutes faster than home-grown runners. But it may not mean much as there's a higher likelihood that those who come here to run marathons are highly zealous runners, willing to cross national boundaries for a good race. To compare them against regular and non-regular marathoners in Singapore will lead to such results. 

In Speed, Solo Runners Triumph Group Runners 

On average, solo runners are 13 seconds faster than group runners. Though, as the data analysis was done on marathons, and not short sprints, the difference in timing might not be markedly significant.


Analysis Method

The analysis is conducted using a technique called multiple regression, through Statistical Analysis System (SAS), a software suite by SAS Institute. It is used to find statistically significant relationships between demographics such as age and gender, and race timings across various events on record.

Head over to https://liv3ly.com/campaign/group-solo2016/infograph to see the animated infographic.
LIV3LY Editor
LIV3LY Editor

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