The Planetary Health Index (PHI) framework has been proposed as an innovative tool to summarize and analyze complex data about the state of the planet. The idea is to create an index composed of three separate interpretable axes, each representing one of the domain "spheres" of interest (atmosphere, biosphere and socio-economy). The resulting framework allows one to identify how one sphere affects another for a given region during a given time frame. The statistical method behind is a 3-way canonical correlation analysis (CCA). A first global prototype was demonstrated at global level combining yearly world bank data and the Earth System Data Cube (ESDL) gridded at quarter degree spatial resolution. However, this spatio-temporal configuration may be too coarse to properly characterize the complexity of global interlinkages between atmosphere, biosphere and socio-economy. We have thus ported the PHI framework to a finer spatio-temporal resolution by testing it at European level, leveraging on the daily 5km data cube of input and outputs of FLUXCOM-X-BASE along with EUROSTAT socio-economic data. We will present first results exploring whether we can use this framework to answer questions pertaining to implications of nature degradation on price inflation.