For Government Agencies
Population intelligence for every ZIP code you serve.
MobilityLens gives government agencies mobility trend data, program effectiveness tracking, equity analysis, and policy simulation — grounded in authoritative federal datasets and updated continuously.
Contact UsBuilt for the questions government agencies actually ask
Population mobility trends
Track Economic Mobility Score distributions across ZIP codes, census tracts, and county boundaries over time. Identify which geographies are improving — and which are stalling.
Program outcome tracking
Measure the mobility impact of specific programs, interventions, or funding streams. Compare outcomes across cohorts controlling for income band, household size, and geography.
Equity analysis
Surface disparities across race, age, household composition, and geography. Every metric shows confidence intervals and data freshness labels — no false precision.
Policy simulation engine
Model the outcome of a proposed policy change before it is enacted. Simulate SNAP threshold adjustments, childcare subsidy changes, minimum wage increases, and their interaction with benefits cliffs.
Geographic heatmaps
Visualize mobility barriers, income gaps, housing cost burden, and opportunity access at ZIP and county level — layered on a single map.
Benefits cliff modeling
See which income thresholds in your jurisdiction trigger the largest benefit losses — and which populations are most exposed. Inform policy design before programs launch.
Model outcomes before you commit.
The policy simulation engine lets you adjust any program parameter — income thresholds, benefit amounts, eligibility criteria — and see the projected impact on the affected population before the policy takes effect.
Simulations draw from the same authoritative datasets as the live platform: Census ACS, ALICE household survival budgets, HUD fair market rents, and Opportunity Insights mobility rates.
Every simulation result includes confidence intervals, data vintage labels, and citation metadata — ready for inclusion in policy briefs and legislative testimony.
Example simulation
What happens if childcare subsidy eligibility is raised from 150% to 200% FPL?
Simulated — not live data. For illustration only.
Authoritative data sources, not black-box models
Every metric traces to a named dataset and data vintage. Cite us in your reports.
Census ACS
Annual population, employment, income, and household composition estimates
Opportunity Insights
Intergenerational mobility rates and upward mobility predictors by geography
HUD Fair Market Rents
Location-aware housing cost baseline updated annually for every ZIP
United for ALICE
County-level household survival budgets for ALICE threshold modeling
Social Capital Atlas
Social network density and cross-class connection rates by county
Security and compliance, built in
Data de-identification
All research and analytics outputs are de-identified. Cohort minimum of 50 enforced before any metric is surfaced.
Procurement-friendly
SOC 2 audit underway. GDPR-aligned data processing agreements available. Government pricing through standard procurement channels.
Dedicated SLA
Government plans include a dedicated SLA, named account support, and onboarding assistance for your team.
Talk to us about your jurisdiction's needs.
We work with counties, state agencies, and federal program offices. Every engagement starts with a scoping call.
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