Product Update: Demographic Selector and Cleaner Metric Workflows
We have released a major usability update for demographic metrics in BoundaryIQ.
The goal is simple: make age-range selection intuitive, reduce manual dataset assignment, and keep metric selection cleaner across configure and management views.
What Changed
1) New dedicated Demographic Selector
You can now set an age range with a dual-handle slider, choose regions, and assign in one action.
This replaces the previous manual process of finding and assigning multiple age datasets individually.
2) Region clarity: England & Wales + Scotland
For demographic selection, the region label is now clearly shown as:
- England & Wales
- Scotland
This makes the selector labels and output naming easier to understand for users.
3) Scotland single-year data now supported
The selector now uses Scotland single-year age collections where available, including correct handling for "Under 1".
This improves consistency with England single-year selection and gives better age-range precision.
4) Assigned Metrics and primary metric cleanup
Assigned Metrics now remains collapsible/expandable and clearer to review.
Demographic combined metrics are shown as a single top-level metric, while intermediate component metrics are hidden from primary metric selection and management metric pickers.
5) Management map/report metric lists are cleaner
The same filtering logic now applies in management-facing metric selectors (including onboarding report metric selection and layer metric toggles), so users are not overwhelmed by intermediate demographic metric rows.
6) Usage limit counting is now region-based for demographic selector
Demographic selector assignments count toward database usage by selected region group:
- England & Wales only = +1
- Scotland only = +1
- England & Wales + Scotland = +2
This avoids inflated usage counts from every intermediate single-year collection.
7) Metric heatmap visibility for demographic combined metrics
Color-by-metric views in management now work cleanly with combined demographic metrics, making spatial patterns much easier to interpret at a glance.
