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Data
Our in-house models turn evidence into neighbourhood scores
Our scoring framework combines local metrics, neighbourhood aggregation, and preference-based comparisons.
We built our scoring framework in-house to turn local measurements into interpretable metric and neighbourhood profiles. It defines comparison baselines, metric direction, weights, and how small-area evidence rolls up to neighbourhoods. The same computed evidence supports reports, similarity, and recommendations.
Read the scoring methodology to follow the current framework, then inspect a neighbourhood’s lens breakdown. Input percentiles and blended scores have different meanings. Census is context, and the current headline decision score uses Value, Safety, Access, and Climate. AI explains these computed results.