Every campaign, grievance, survey, event, community signal, media narrative and field report attaches to a geographic unit and becomes part of that place's timeline. That is what makes the picture add up rather than fragment across departments.
Hierarchy
Administrative structures differ by country and by state, so the hierarchy is configuration rather than code. What stays constant is that aggregation follows the tree: a ward's numbers roll into its district, and a district's into its state, without anyone maintaining a spreadsheet of mappings.
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Canonical levels
| Level | Canonical type | Typical use |
|---|---|---|
| 1 | Country | National view and territory-wide indicators |
| 2 | State / Province | State headquarters control room |
| 3 | District | Administrative or programme district |
| 4 | Parliamentary constituency | National representative area |
| 5 | Assembly constituency | Legislative seat area |
| 6 | Block / Mandal / City zone | Optional intermediate unit |
| 7 | Ward / Local unit | Ward, panchayat, village cluster, municipal unit |
| 8 | Booth / Precinct | Lowest operational field unit |
Capabilities
Every relevant record references a geographic unit and, where useful, a precise geometry. Aggregation follows the parent-child tree automatically.
Each unit holds a current state vector and periodic snapshots, so any two moments can be compared directly rather than reconstructed.
Every score carries a confidence value and the sources behind it, so sparse or biased data is visible rather than smoothed away.
Domain services publish normalized events; the twin service consumes them and maintains state. Dashboards read from query-optimized stores.
In practice
Start from the territory view and select any unit. The map, indicators, alerts and lists all rescope together.
Mood, issue state, service state, feedback state, organisation activity and data quality for that unit.
Every indicator is drillable to the timeline of events and the individual records that moved it.
Pull a snapshot from before an intervention and compare it against the current state.
See how much data sits behind the reading, and where coverage is thin enough to hold the conclusion loosely.
Assign work, open a corrective action or brief a team without leaving the geographic context.
See how Civiq.plus can help your teams make better decisions, faster.
