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Chandigarh & Jaipur Among Top Happiest Cities In The World To Buy A House

| Published on October 25, 2021

Today, people have been living a very hectic lifestyle. With a stressful work life and no time to socialize, people have become more and more unhappy with their way of living. Many of us live far from our home town for education and for work. And the transition is not at times easy.

Before moving, people look for cities that have better education facilities or job opportunities, some may even look for how safe the city is. Well! many factors go in while choosing to live in the city of your dreams.

A survey by a UK firm, Online Mortgage Advisor, has revealed the names of the happiest cities in the world to buy a house.

Top 20 happiest Cities In the World

As the survey said, Barcelona Spain is the happiest city in the world to buy a house. Barcelona’s homebuyer photos scored an average happiness score of 95.4 out of a possible 100, which is a whopping 15.6% over the global average happiness level of homebuyers.

India was also featured in the list and took five spots in the category. Chandigarh was tagged the fifth happiest city while Jaipur was tenth on the global score. Following that, Chennai stood on thirteenth, Indore on seventeenth, and Lucknow was named the twentieth happiest city in the world to buy a house.

Top 20 Un-happiest Cities In the World

The least happy city to buy a home according to the  Instagram analysis is Mumbai, India, with an average happiness score of 68.4 out of 100. That’s 17.1% lower than the global homebuyer average.

Methodology

Online Mortgage Advisor (OMA) is a free mortgage broker matching service that matches people with someone specifically based upon their circumstances.

As per the information shared by OMA, the analysis was performed in August 2021 which took into consideration two sets of Instagram posts: one was found using the hashtag #selfie and the other was found using hashtags relating to a recent home purchase, e.g. #homeowner.

Every photo in this analysis was scanned with the Microsoft Azure facial recognition tool. Microsoft Azure analyses clear photos of faces and automatically provides a score on the levels of different emotions present. The detectable emotions are anger, contempt, disgust, fear, happiness, sadness, surprise, and neutrality. For the purposes of our analysis, we combined the negative emotions (anger, contempt, disgust, fear, sadness) into one category (‘negative’).

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