A new data set has revealed the sleep patterns of people living in different cities across the world.
Jawbone, a company that makes wearable technology, has released some data collected by its activity tracker "UP" and reveals the average amount of time a person sleeps in some of the major cities of the world.
The company reveals that it included a sample of 5,000 UP users in international cities. However, the number of UP user samples in the U.S. cities exceeded tens of thousands.
Jawbone also explained how UP calculates the sleep pattern of its wearer. The company revealed that UP tracks not only the bedtime and waketime of its user, but also traces the time taken to fall asleep, quality of sleep and awakenings during sleep. To calculate the average sleep time, UP does not include any waketime in bed.
According to Jawbone's data, people in Melbourne, Australia, enjoyed the most sleeping hours with an average of 6 hours and 58 minutes of sleep per day. People in Tokyo, Japan, recorded the least amount of sleep per day, which accounted for only 5 hours and 44 minutes each day.
The dataset also revealed that people in Brisbane, Australia were the earliest to go to bed at 10:57pm, while people in Moscow, Russia delayed going to bed the most (at 12:46 am). Samples in Brisbane were earliest to rise at 6:29am and as samples in Moscow went to bed last, they also woke up latest at 8:08am.
"New Yorkers work hard and play hard, and they're the first to bed and among the first to rise. Users in Tokyo are among some of the last to go to bed and the first to wake up, since they only average 5 hours and 46 min of night sleep. Dubai has the most leisurely sleep schedule, with 10% of users still asleep by 11am," per the Jawbone blogpost.
The Jawbone dataset also suggests that it is a cultural thing for people in Beijing, China, to take an afternoon nap at work. The data reveals that around 5 percent of UP wearers in Beijing took an afternoon nap. Similarly, up to 15 percent of people in Madrid, Spain, took an afternoon nap.
The dataset may not be taken as a scientific experiment about sleep, but it reveals that different cities in the world have different lifestyles.