As far as I can tell, some 1000-odd people of age 15+ in each of 156 to 158 countries are asked by Gallup polling each year the following question, which in English reads:
“Please imagine a ladder, with steps numbered from 0 at the bottom to 10 at the top. The top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible life for you. On which step of the ladder would you say you personally feel you stand at this time?”The average for the country is supposed to reflect its level of happiness. The Cantril Life Ladder is available for India from 2006 onwards. The report also includes measures that one might think affects the answers given on the Cantril Life Ladder, such as per capita income and life expectancy, and survey measures such as perceived freedom to make life choices, perceived corruption, and so on. India is generally improving on these measures over the 2006-2018 time period. One interesting thing is that countries with poorer improvement on these measures can be happier than India.
Assume for now that the data is fine: that the surveys are comparable across years, a representative sample of the population is chosen, there are no language issues in translating the question into Indian languages, etc. etc.
India is increasingly unhappy. The dots show India's Cantril Life Ladder values; the line is a trend line inserted in Microsoft Excel; the numbers are India's rank (higher is happier) in the 156 countries covered in the world happiness report issued the next calendar year. So, e.g., in the 2019 report, India is ranked 140th of 156 countries. (There have been 155, 157 and 158 countries in some years.).
Might it be the case that the aspirations of Indians are rising much faster than they can be met? That is, they can increasingly imagine that a better life could be in reach, and so they rank their current personal situation lower?
If I have the time and energy, I will see if the data is there to make a similar chart for China. Might make for an interesting comparison.
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GWP = Gallup Worldwide Polling
waves = rounds of polling
Data and captions taken from the World Happiness Report 2019.
GDP per capita is in terms of Purchasing Power Parity (PPP) adjusted to constant 2011 international dollars, taken from the World Development Indicators (WDI) released by the World Bank on November 14, 2018. The equation uses the natural log of GDP per capita, as this form fits the data significantly better than GDP per capita.
Rajan Parrikar · 314 weeks ago
macgupta 81p · 314 weeks ago
Charts here: https://observingliberalpakistan.blogspot.com/201...
Wondering if it is an acceptance of whatever Allah gives, or fudged data (Pakistan is notorious for that), or something else.
Guest · 313 weeks ago
It's a worldwide trend but it's probably more annoying when inequality is already great.
macgupta 81p · 312 weeks ago
If we go by consumption of "fast moving consumer goods" (FMCG) then the rural areas are growing faster than the urban areas, which kind of contradicts the Gini story. Per the industry organizations that represent the companies that manufacture and sell these goods, while urban areas are expected to grow 8-9% CAGR, rural areas are expected to grow in mid-to-high teens. Just to quote at random "Bhalla said the current economic scenario suggests that urban FMCG sector will report 8 per cent revenue growth in fiscal 2018-19 while the contribution from the rural segment will be higher at 15-16 per cent."
PS: also, for a country whose economy has grown 50% PPP in the last 6 years, quoting statistics from 2014-15 has no point, which is what the World Bank data is.