We apply an integrated framework combining difference-in-differences and synthetic controls ensemble with causal forest to the UK Household Longitudinal Survey. Household relocations are leveraged as natural experiments to quantify the causal relationship between the built environment and subjective wellbeing. We demonstrate the complementarity and interoperability of canonical statistics and novel machine learning methods.