Explore & learn
Inspect public examples, document structure and relationships, and understand the release boundary.
Use & governance
Use a synthetic city with clear boundaries.
Choose an appropriate use class, carry the release context into your work and validate results against the decisions they will inform.
Purpose & consequence
Match the review effort to the intended use.
Develop & test
Validate applications, analytical logic and integrations against the available synthetic scope.
Research & analyze
Record reference sources, assumptions, limitations and empirical comparisons relevant to the research.
Support consequential decisions
Validate against the intended context and apply appropriate expert review before relying on model results.
Synthetic records
Model systems and relationships.
What the records represent
Generated residents, households, organizations and events form a synthetic city. Population-level evidence informs the model.
What they cannot establish
A synthetic person is not a real individual. A generated record cannot establish a real person’s identity, circumstances or behavior.
Governed use
Keep the release identity with the analysis.
Record the version
Retain the city, domain scope, release manifest and verification results.
Document the assumptions
Carry the data dictionary, calibration context and disclosed limitations into analytical work.
Review changes
Treat a refreshed dataset as a new version and reassess the effect on downstream results.
Inspect release records →Rights & access
Confirm rights for your actual deployment.
Public samples support evaluation. Production, commercial use, redistribution, recurring access and application integration depend on the applicable license and accepted order terms.
Review pricing & licensing →Conditional outputs
A model result depends on its assumptions.
Keep the baseline, changed inputs, mechanisms, time range and uncertainty alongside any scenario result. Compare relevant outputs with external evidence before consequential use.
Explore the release
Start with the evidence and a sample.
Explore Nairobi
Inspect the city, domain coverage and resident journeys.
Explore Nairobi →Explore Lagos
Follow the same connected model in a different city.
Explore Lagos →Inspect sample data
Read rows, distributions and field definitions before choosing your scope.
Open Data Explorer →