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.

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Built 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?

Additional households eligible~4,200
Avg. benefits cliff exposure reduced31%
Projected EMS score gain (median)+6 points
Estimated cost to county$2.1M/yr

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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