Abstract
In this study, we propose a hyper-simplified indicator of health and well-being for data visualization purposes in large datasets and apply it to SHARE survey data, the largest macro survey on health, ageing and retirement for 18 European countries. The indicator is based on four thematic sub-indicators, each focussing on a particular issue, which are obtained from more than twenty mixed variables measured on more than 60,000 respondents; Next, PCA is used to summarize their information in order to find and visualize profiles of “healthy ageing” across Europe. As a result, EU countries are classified in three groups, that segment the database into the least to the most individuals at risk of health and well-being. The methodology we propose is wide enough to be extended to other surveys or disciplines.
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