®County systems intelligence
See where health priorities, pathway barriers, and planning choices meet.
Explore public estimates and coverage gaps across all 3,144 U.S. county equivalents, then move from evidence to Health Equity Hub planning, Health Access Day readiness, CHA/CHIP evidence and planning questions, workforce questions, and accountable action.
Geography
Start with a place. Keep the national picture.
Search states, counties, cities and towns, Census places, ZIP-linked areas, FIPS codes, and GEOIDs. Missing measures remain missing—not zero.
Search covers 50 states, D.C., 3,144 county equivalents, cities, towns, Census places, and ZCTAs.
Preparing counties in view
Nationwide · no filters applied
Preparing the national county map…
Every county equivalent can be selected. Use search and the county table as accessible alternatives to the map.
U.S. Census Bureau TIGERweb · January 1, 2025 boundaries. CDC PLACES: County Data (GIS Friendly Format), 2025 release · released December 4, 2025. Planning-pressure layer status: planning-scenario-only.
Comparative evidence
Health-priority pattern
Compare chronic-condition estimates for the selected geography with state and national county benchmarks.
National county benchmark
CDC PLACES: County Data (GIS Friendly Format), 2025 release · released December 4, 2025. Model-based prevalence and service estimates; percentages may use different eligible populations, so compare each row only with the same measure.
Comparative evidence
Barriers around the pathway
See where practical and social barriers may need to be tested against local experience and resource capacity.
National county benchmark
CDC PLACES: County Data (GIS Friendly Format), 2025 release · released December 4, 2025. Model-based prevalence and service estimates; percentages may use different eligible populations, so compare each row only with the same measure.
National comparison
Where planning pressure clusters.
State medians summarize county demonstration-index percentiles. They are not state performance grades.
CDC PLACES: County Data (GIS Friendly Format), 2025 release · released December 4, 2025. State medians use the CB-CAP demonstration calculation disclosed in Methods and data; status: planning-scenario-only.
Rethinking Rural Governance
From data capture to institutional intelligence.
CB-CAP turns the publication’s continuous-learning model into a visible operating sequence.
Capture
Geography, health estimates, capacity, and community input
Validate
Coverage, vintage, definitions, uncertainty, and privacy
Integrate
Health, workforce, hubs, providers, digital readiness, and governance
Decide
Planning questions, scenarios, ownership, and safeguards
Learn
Measures, review cadence, transparency, and course correction
Release comparison
See how public estimates change across releases.
Compare harmonized county fields from CDC PLACES releases while keeping methodological differences visible.
Select a county to compare releases.
City, town, and ZIP-linked profiles remain available elsewhere; this view uses comparable county releases.
Release comparisons are not continuous observations. Confirm definitions and underlying years before drawing conclusions.
CHA / CHIP workspace
Move from a signal to an accountable planning question.
Build an evidence shortlist for Community Health Assessment and Community Health Improvement Plan discussions.
0 saved for this geography
Select a geography to generate an evidence shortlist.
CB-CAP will separate published model-based estimates, comparisons, questions, actions, and measures.
01Signals
See the pattern and its source.
02Community context
Add lived experience and local evidence.
03Priorities
Choose what matters with partners.
04Actions
Name the owner, pathway, and resources.
05Measures
Track progress and revisit assumptions.
Displayed measures follow a fixed published order and are not a priority ranking. CB-CAP supports CHA/CHIP evidence and workflow; it does not replace community participation, health-department governance, or official priority-setting.
Planning scenarios
Explore a planning range before choosing a response.
Adjust transparent assumptions to test a planning horizon and a non-clinical pathway-capacity scenario.
Scenario, not observed demand
Choose a county, city, or ZIP-linked area to begin.
The scenario will use that geography’s population and selected CDC PLACES estimate.
CDC PLACES: County Data (GIS Friendly Format), 2025 release · released December 4, 2025. Scenario totals are population-equivalent arithmetic based on a published model estimate and user-selected assumptions. They are not diagnosed people, future cases, observed service demand, or a forecast.
Governed AI and automation
Facts first. Synthesis second. Human judgment stays visible.
CB-CAP is structured for source-cited AI briefs, workflow orchestration, and continuous learning without allowing a model to invent data or make clinical decisions.
Validate sources
Draft insight
Human review
Approve action
Measure and learn
Turn the current view into a stakeholder-ready brief.
Choose an audience and the sections that belong in the conversation. No login is required; saved views stay in this browser.
Use the browser’s Print command in the print-ready brief to save a customized PDF.
County explorer
Browse every county equivalent.
The county explorer loads as this section comes into view.
| County | Population | Planning pressure | Chronic pressure | Barrier pressure | Data coverage | Open profile |
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Preparing the nationwide county explorer…
Methods and data
Transparent enough to question. Structured enough to improve.
Stakeholders can see what is sourced, what is calculated, what is unavailable, and what requires human judgment.
U.S. Census Bureau TIGERweb
50 states and the District of Columbia. County boundaries and GEOIDs use the January 1, 2025 vintage.
Open Census sourceCDC PLACES 2025
CDC PLACES values are model-based population estimates, not diagnoses or counts of individual people. Underlying years: BRFSS 2023/2022, Census 2023, ACS 2019-2023/2018-2022.
Open CDC datasetDemonstration planning pressure
45% chronic-condition percentile + 35% pathway-barrier percentile + 20% prevention-opportunity percentile. The pathway-barrier percentile uses adult estimates for lack of health insurance, lack of reliable transportation, food insecurity, housing insecurity, utility shutoff or threat, and loneliness, and requires at least two eligible pathway-barrier measures. Disability is retained only as accessibility context and is excluded from pathway-barrier and composite calculations. At least two top-level components are required; one missing component is reweighted. County profiles use the national county distribution; state portraits show the median county percentile. Place and ZIP-linked profiles are also compared with the county distribution and are labeled accordingly.
Not a government designation, clinical risk score, funding formula, or prediction of individual health outcomes.Coverage and lineage
3,144 unique county FIPS values. 3,143 matched PLACES profiles; 2,956 meet the two-component minimum for the composite planning view. Source snapshot hash is recorded for reproducibility.
d7576653ed7f01c4…How CB-CAP handles uncertainty and missing data
Confidence intervals are preserved for individual PLACES measures and used in scenario ranges. A missing measure remains “Not available.” CB-CAP does not convert missing coverage to zero, and a scenario is disabled when the required population or measure is absent.
Census ZCTAs approximate ZIP-shaped statistical areas; they are not USPS delivery routes. Places and ZCTAs may cross county boundaries, so the platform does not silently force a one-county relationship.
How AI-assisted briefs remain bounded
Facts are calculated from the cited sources before any narrative is drafted. This public view writes each brief from the values shown on screen. Future AI-assisted drafting will remain limited to sourced observations, comparisons, scenarios, and planning questions, with human review before publication.
CB-CAP does not diagnose, triage, prescribe, determine individual eligibility, or replace official CHA/CHIP governance.