Data
Turning Data Into Mobility, Not Just Measurement
Place-based data systems help communities see what’s changing, coordinate action, and stay accountable to residents—not just report metrics.
This page highlights why neighborhood-level data matters, who is leading the field, and what funders increasingly expect from modern data infrastructure.
Why it matters
Why Place-Based Data Matters
Neighborhood change is not evenly distributed—and neither are opportunity, investment, or outcomes. Place-based data helps partners align around the same picture of what’s happening, where it’s happening, and for whom.
When data is organized at the neighborhood level, it becomes a tool for coordination: it clarifies priorities, supports shared accountability, and helps communities move from reporting to learning and action.
What strong place-based data systems include
• Clear neighborhood definitions and consistent geographies
• Shared indicators across partners (and a process to update them)
• Disaggregation by race, income, age, and other relevant factors
• Data-sharing agreements and governance
• A cadence for learning, sensemaking, and decision-making
• Resident-facing transparency and feedback loops
Designed for action
Strong systems don’t just publish dashboards—they support decisions: where to focus, what to change, and how to measure progress over time.
Built for trust
The best place-based data work is transparent, explainable, and co-owned—so residents and partners can use it with confidence.
Sustained over time
Neighborhood transformation takes years. Data systems must be durable, longitudinal, and adaptable as strategies evolve.
Field leaders
Who Is Leading in Place-Based Data Work?
Across the country, a growing set of organizations are building the tools, practices, and partnerships that make neighborhood-level learning possible. The leaders below show different approaches—backbone infrastructure, resident-centered accountability, and cross-sector coordination.
More leaders
Additional Organizations to Watch
These organizations are shaping how communities build data infrastructure, interpret neighborhood conditions, and connect evidence to action.
Funding trends
What Funders Are Looking For Now
Outcomes Over Outputs
Evidence that strategies improve real conditions—not just activity counts.
Shared Measurement
Common indicators and learning routines across partners and sectors.
Longitudinal Perspective
The ability to track change over years and across cohorts.
Real-Time Decision Making
Data that supports rapid learning cycles and course correction.
What this means for community quarterbacks
Funders increasingly expect community quarterbacks to convene partners around shared indicators, translate data into decisions, and show place-level change over time—not just program performance.
Deeper Dive: Ballmer Group and the Data Infrastructure Shift
A growing set of funders are investing in the “plumbing” of place-based change: shared data infrastructure, governance, and the capacity to use information for continuous improvement.
Common themes in this shift include:
• Building shared data platforms and interoperability
• Strengthening data governance and privacy practices
• Supporting learning agendas and improvement cycles
• Investing in local analytic capacity and translation
Key takeaway: Data infrastructure is increasingly viewed as a core ingredient of durable, scalable place-based change—not an optional add-on.
Deeper dive
Deeper Dive: Blue Meridian Partners and the Scale of Place
As place-based strategies scale, funders are increasingly explicit about what it takes to demonstrate impact at the neighborhood level—especially when multiple sites, partners, and funding streams are involved.
Clear place definition
A shared understanding of neighborhood boundaries and target populations.
Comparable indicators
A consistent set of measures that can be tracked across time and across places.
Learning and accountability
Regular routines for sensemaking, decision-making, and transparent reporting.
Evidence of place-level change
A credible story of how coordinated action is shifting conditions—not just services delivered.
“Scaling place-based work requires scaling the data practices that make coordination possible.”
Implications
What This Means for a Community Quarterback Org
Data is no longer just a reporting requirement—it’s a coordination tool. Community quarterbacks can use place-based data to align partners, focus investments, and stay accountable to residents over time.
A community quarterback should be able to:
• Define the place and maintain consistent neighborhood geographies
• Convene partners around shared indicators and a learning cadence
• Build data governance, privacy practices, and data-sharing agreements
• Translate data into decisions and course corrections
• Track longitudinal outcomes and place-level conditions
• Communicate progress transparently to residents and stakeholders
Start small, build durable
Begin with a focused set of indicators and routines—then expand as trust, capacity, and governance mature.
Make it resident-facing
Design transparency and feedback loops so data supports accountability, not just analysis.
Ready to align data and action?
Let’s build a place-based data strategy that supports learning, coordination, and resident-centered accountability.