Interactive Report
Healthcare Access Can Fail When Travel Breaks Down
A ZIP Code can have nearby providers and still be hard to use if residents lack vehicles, transit is weak, travel is difficult, or local barriers stack together. CartoChrome turns those signals into the public Travel Score driver.
Sources and freshness are reported through the public source registry and score run records.
Is Your Community a Transportation Desert?
Enter any US ZIP Code to see its travel-barrier score, vehicle access, hospital proximity, and transit availability.
Access Scenario
What a Travel Barrier Looks Like
Consider a rural older adult who needs dialysis three times a week. If the nearest center is dozens of miles away, there is no household vehicle, and public transit is unavailable, a routine appointment becomes a logistics problem before it becomes a medical visit.
CartoChrome turns that pattern into a repeatable ZIP-level signal: Healthcare Access Score for the main access picture, then People Score, Provider Score, Hospital Score, and Travel Score to explain why access is strong or weak.
The point is not to tell one unverifiable story. It is to show where real public data indicates that missed care is more likely because travel, distance, and local vulnerability stack together.
That is the map layer payers, health systems, relocation teams, and families can actually act on.
Travel
Travel Score highlights transportation and distance barriers
Source: CartoChrome four-driver score contract
HPSA
Shortage-area records help validate access gaps
Source: HRSA public shortage-area data
CMS
Facility records show hospital and care-site availability
Source: CMS public provider-data files
ACS
Vehicle, income, disability, and insurance variables add local context
Source: Census ACS public data
Metro Travel-Barrier Planning Examples
A planning-style view of the barrier metrics CartoChrome uses for NEMT, health system access planning, and relocation analysis. Live ZIP Code data comes from the API; this metro section is labeled as an example until the metro rollup endpoint is live.
| Metro Example | Barrier Focus | Planning Use | |
|---|---|---|---|
| Detroit-Warren-Dearborn, MI | Urban vehicle access and cross-county specialty travel | NEMT staging, appointment ride density, specialty access analysis | |
| Memphis, TN-MS-AR | Provider shortage plus multi-state travel patterns | Network adequacy review and health-system access planning | |
| New Orleans-Metairie, LA | Low-vehicle areas, weather disruption, and hospital access | Disaster access planning and recurring appointment support | |
| Baltimore-Columbia-Towson, MD | East-west access differences and hospital concentration | Payer access reporting and patient navigation routing | |
| Cleveland-Elyria, OH | Transit gaps between residential ZIP Codes and care destinations | Ride-allocation strategy and missed-care risk targeting |
The Opportunity
The $15 Billion Opportunity
Non-emergency medical transportation is the fastest-growing segment of Medicaid. The companies that own the data will own the market.
Route Optimization
CartoChrome data shows where rides are needed most. Target the ZIP Codes where transportation burden, provider distance, and local vulnerability appear strongest. Travel Score barrier detail identifies areas that deserve deeper medical-transportation planning before a partner commits capacity.
Medicaid Compliance
Medicaid non-emergency medical transportation is governed by public program rules. CartoChrome identifies ZIP Codes with higher transportation barriers so partners can document need with published, auditable access data instead of guesswork.
Evaluation Data
Travel Score detail can support program evaluation by showing where access friction is highest before rides are routed. It does not prove outcomes or ROI by itself; partners should pair it with claims, appointment, and ride-completion data under their own consent and compliance controls.
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ZIP Codes scored
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Provider profiles
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Facility profiles
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Public source records
Explore by State
Transportation vulnerability varies dramatically across states. Hover to see zero-vehicle household rates. Click to dive into state-level data.
Alabama
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State rollup pending live APIAlaska
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State rollup pending live APIArizona
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State rollup pending live APIArkansas
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State rollup pending live APICalifornia
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State rollup pending live APIColorado
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State rollup pending live APIConnecticut
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State rollup pending live APIDelaware
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State rollup pending live APIDistrict of Columbia
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State rollup pending live APIFlorida
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State rollup pending live APIGeorgia
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State rollup pending live APIHawaii
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State rollup pending live APIIdaho
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State rollup pending live APIIllinois
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State rollup pending live APIIndiana
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State rollup pending live APIIowa
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State rollup pending live APIKansas
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State rollup pending live APIKentucky
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State rollup pending live APILouisiana
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State rollup pending live APIMaine
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State rollup pending live APIMaryland
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State rollup pending live APIMassachusetts
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State rollup pending live APIMichigan
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State rollup pending live APIMinnesota
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State rollup pending live APIMississippi
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State rollup pending live APIMissouri
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State rollup pending live APIMontana
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State rollup pending live APINebraska
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State rollup pending live APINevada
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State rollup pending live APINew Hampshire
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State rollup pending live APINew Jersey
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State rollup pending live APINew Mexico
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State rollup pending live APINew York
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State rollup pending live APINorth Carolina
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State rollup pending live APINorth Dakota
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State rollup pending live APIOhio
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State rollup pending live APIOklahoma
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State rollup pending live APIOregon
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State rollup pending live APIPennsylvania
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State rollup pending live APIRhode Island
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State rollup pending live APISouth Carolina
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State rollup pending live APISouth Dakota
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State rollup pending live APITennessee
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State rollup pending live APITexas
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State rollup pending live APIUtah
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State rollup pending live APIVermont
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State rollup pending live APIVirginia
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State rollup pending live APIWashington
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State rollup pending live APIWest Virginia
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State rollup pending live APIWisconsin
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State rollup pending live APIWyoming
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State rollup pending live APIOpen Data for Open Impact
Researchers, journalists, and health agencies: use this data freely with attribution.
What's included
- Unknown+ ZIP Codes with travel-barrier scores
- 5 travel-barrier components per ZIP Code
- Healthcare facility distance matrix
- HPSA designation status
- Census demographics (income, insurance, disability)
- Zero-vehicle household percentages
Download formats
Every Missed Appointment Is a Missed Ride
CartoChrome has the access signals. Transportation partners have the routing operations. Together, the work is to close ZIP-level travel barriers with auditable public data and measured program results.
FAQ
Frequently Asked Questions About Healthcare Deserts
What is a healthcare desert?
A healthcare desert is a place where the main Healthcare Access Score falls into the lowest access band because residents face major provider, hospital, people, or travel barriers. CartoChrome measures that at ZIP Code level rather than hiding local gaps inside county averages.
How does Travel Score affect healthcare desert risk?
Travel Score captures whether people can realistically reach care, including vehicle access, transit constraints, facility distance, broadband, and local vulnerability. A ZIP Code can have nearby providers and still struggle if residents cannot reliably get to appointments.
Are healthcare deserts only rural?
No. Rural ZIP Codes often have long-distance access problems, but urban ZIP Codes can also score poorly when insurance, income, disability, transit, or facility-capacity barriers make care hard to reach.
How often are healthcare desert scores updated?
Provider, facility, Census, HRSA, CDC, and transportation-related inputs refresh on their source cadence, and the score pipeline recomputes ZIP-level results from public datasets. Live coverage counts come from the CartoChrome public-facts API.