Minor dip in happiness in June 2023 – Ipsos IndiaBus Happiness Monitor

Mumbai: The Ipsos IndiaBus Happiness Monitor that gauges happiness levels of urban Indians across the length and breadth of the country, shows a minor dip in the happiness levels of urban Indians in June 2023. Last month too there was a minor decline.

So, what are the key areas that are making Indians most happy? The hierarchy of barometers remain constant – urban Indians choose family (73%) as the biggest sources of happiness, followed by health (66%), friends’ circle (63%), employment or work (59%), colleagues or business associates (58%), neighbours (56%), economic or financial conditions (52%), among others. 

Notably though, all these areas have seen a dip in June 2023 as the source of happiness. 

Commenting on the findings of the survey, Public Affairs and Corporate Reputation group service line leader Parijat Chakraborty said, “Happiness continues to be defined by close relationships and people in the immediate ecosystem. Wellbeing, finances, enable Indians to indulge and experience happiness. Inflation, cutback on discretionary spends, does impact happiness, as there is an all-pervasive impact being felt, of rise in cost of living daily. What is notable is a gradual increase in happiness with the situation of the country and of the world, over the past six months. A thriving economy in the country, waning of post-Covid apprehensions and delayed or no impact of much-feared global recession are the likely reasons for these upward trends.”   

Ipsos IndiaBus is a monthly pan India omnibus (which also runs multiple client surveys), that uses a structured questionnaire and is conducted by Ipsos India on diverse topics among 2200+ respondents from SEC A, B and C households, covering adults of both genders from all four zones in the country. The survey is conducted in metros, tier1, tier 2 and tier 3 towns, providing a more robust and representative view of urban Indians. The respondents were polled face to face and online. We have a city-level quota for each demographic segment that ensures the waves are identical and no additional sampling error. The data is weighted by demographics and city-class population to arrive at the national average. For the happiness index, two waves rolling data were used. Rolling data is calculated as an average of two months data point.

Data collection is done every month and the results are calculated on two-months’ rolling samples.

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