Exploring Happiness data centre

 

The data we focus on at Exploring Happiness allows us to track and better understand how countries are progressing in a number of different aspects. Progress cannot be defined by the measurement of one metric. Trade-offs often exist. For example, a country’s economy may grow quickly, but if the growth is distributed unevenly, this would lead to an increase in inequality. Or instead, the growth could be deemed unsustainable if it leads to an excessive depletion of the earths natural resources. Indicators of progress across various dimensions can influence a countries average happiness or wellbeing score. As well as how these scores change over time, which is shown in the chart below:

Regional happiness scores and how they have changed over time

2020 UN World Happiness Report. Using a scale of 1-10, the world average happiness score is equal to 5.4, based on a simple average across all 153 countries surveyed. C&EE stands for Central & Eastern Europe. CoIS stands for Commonwealth of Independent States. LA&C stands for Latin America & Caribbean. ME&NA stands for Middle East & North Africa. NA&ANZ stands for North America & Australia/New Zealand. SS Africa is Sub-Saharan Africa.

Since we think the various measures of progress influence a country’s wellbeing, we therefore thought it would be useful to create a dataset that includes both indicators of progress and measures of wellbeing and happiness. These indicators are split into four main categories: economic data, social and governance data, wellbeing data and environmental data. This dataset is linked at the bottom of the page and it allows us to produce interesting analysis that looks at the relationship between a number of different variables and how they relate to measures of wellbeing and happiness, such as in the chart below:

Correlation between wellbeing and key social and governance indicators

2020 UN World Happiness Report, World Bank data and own calculations. Inequality is measured here using the World Bank's Gini coefficient estimates.

Lastly, given our tendency to focus our analysis towards the UK, as this is the place that we know the best, we do also include the ONS wellbeing measures that are updated quarterly in our dataset. The chart below shows how they have behaved since the ONS began recording this data in 2011:

ONS wellbeing measures for the UK 2011-2020

Office of National Statistics, Annual Population Survey. The 2020 figures are based on data for Q1 only, which was released on 31/07/20. As additional quarters are released these figures will be updated. The four questions asked are as follows: 1: Overall, how satisfied are you with your life nowadays? Where 0 is 'not at all satisfied' and 10 is 'completely satisfied'. 2: Overall, to what extent do you feel the things you do in your life are worthwhile? Where 0 is 'not at all worthwhile' and 10 is 'completely worthwhile'. 3: Overall, how happy did you feel yesterday? Where 0 is 'not at all happy' and 10 is 'completely happy'. 4: Overall, how anxious did you feel yesterday? Where 0 is 'not at all anxious' and 10 is 'completely anxious'. An inverted measure for anxiety is provided for ease of comparison with the other variables.