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Lung Cancer Score
Significant gaps exist in healthcare availability for residents of 59537.
Data sources: CMS NPPES, Hospital Compare, ACS 5-Year Estimates. Scores recomputed monthly.
35/100
Limited Access
Comparisons
How the 35/100 lung cancer score for 59537 is calculated
Demographics, insurance coverage, and social determinants of health
Physician density, specialist availability, and telehealth
Hospital proximity, bed count, ER access, and facility quality
Commute times, public transit access, and vehicle availability
35
Limited Access · D
3
Healthcare Desert · F
This ZIP scores 32 points higher for lung cancer than its overall health score.
Each condition score reflects access to the specific specialists, screening facilities, and treatment centers relevant to that condition
Each score uses the same E2SFCA spatial access methodology but filtered to condition-relevant providers — the diabetes score weights endocrinologists and diabetes care centers, while the breast cancer score weights mammography facilities and oncologists.
Access to neurologists, memory care, and cognitive health services
Access to rheumatologists, orthopedics, and pain management
Access to pulmonologists, allergists, and respiratory care
Access to mammography, oncologists, and breast cancer treatment
Access to pulmonary specialists and respiratory therapy
Access to cardiologists, blood pressure management, and heart care
Comprehensive healthcare access across all dimensions
Access to urologists, oncologists, and prostate screening
Access to endocrinologists, insulin providers, and diabetes care
Access to diabetes management, nutrition, and primary care
Health insurance coverage and social determinants of health
The Insurance Index reflects the demographic and social determinants of health in 59537. It factors in insurance coverage, poverty rates, age distribution, and population vulnerability to provide a composite view of community health readiness.
Physician density, specialist availability, and telehealth access
The Provider Density metric measures the availability of healthcare professionals near 59537. This includes primary care physicians, specialists, dentists, mental health professionals, and telehealth availability. A higher score means more providers per capita within a reasonable driving distance.
Hospital proximity, bed count, ER access, and facility quality
The Hospital Proximity metric evaluates distance to hospitals, emergency rooms, urgent care centers, and inpatient facilities near 59537. It factors in hospital quality ratings, bed availability, trauma center level, and average travel time to the nearest emergency department.
Commute infrastructure, public transit access, and vehicle availability
The Transit Access metric captures how easily residents can physically reach healthcare facilities. It combines commute patterns, public transit access, vehicle ownership rates, and walk/bike infrastructure to assess transportation barriers to care.
ZIP code 59537 on the map
Health scores for ZIP codes near 59537
Scores can vary dramatically between neighboring ZIP codes. A 20-point difference often means the boundary between having a hospital within 15 minutes versus needing to drive 45 minutes.
Telehealth access and commute patterns affecting healthcare delivery
Telehealth Boost reflects broadband availability and telehealth-capable providers. A higher percentage indicates greater virtual care access, reducing reliance on physical travel.
How transportation barriers affect healthcare access
65/100
High Transportation Vulnerability
Higher scores = more vulnerable to transportation barriers
0.0%
Zero-Vehicle Households
35.36 mi
Nearest Hospital
41
Population
Transportation is the #1 non-medical barrier to healthcare access. Patients who lack reliable transportation miss 3x more appointments and have worse outcomes across every chronic condition.
Loring, Montana
Approximately 47.8% of residents get to work in less than 30 minutes. The average household size is approximately 1.4 members with about 2.00 cars per household.
An estimated 100.0% of residents has some form of health insurance. N/A have public health insurance like Medicare, Medicaid, VA, or TRICARE. About N/A have private health insurance. The uninsured rate of 0.0% is below the national average, suggesting relatively good insurance coverage in this area.
ZIP code 59537 has a total population of 41 with a median age of 25.4. The area is 85.4% White. The male-to-female ratio is 1.28. There are 16 residents under 18 and 8 residents over 65.
The median household income in 59537 is $147,917. Above-average income levels generally support better healthcare access through ability to afford insurance premiums, copays, and transportation.
There are 20 housing units in 59537, with 10 owner-occupied and 0 renter-occupied. The median monthly housing cost is N/A. Approximately 10 units are vacant.
Key demographic data for ZIP code 59537
Population density, median age, and income directly affect healthcare infrastructure. Older, wealthier communities attract more specialists. Younger, lower-income areas often have higher uninsured rates and fewer providers.
Population diversity in ZIP 59537
Healthcare access disparities correlate with racial composition. Racial and ethnic minorities are disproportionately located in Health Professional Shortage Areas, and Asian communities often face language access barriers. Source: HRSA, Health Workforce Analysis
Median: $147,917
Median household income is the strongest single predictor of health insurance coverage. ZIPs below $35,000 median income have uninsured rates 3–4x higher than ZIPs above $100,000.
62.5% hold a bachelor's degree or higher
Education level correlates with health literacy — the ability to understand medical information and navigate the healthcare system. Areas with higher bachelor's degree rates typically have better preventive care utilization.
Community reviews for ZIP 59537
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0 reviews
See how 59537 stacks up against nearby ZIP codes in healthcare access.
The CartoChrome Health Score uses an Enhanced Two-Step Floating Catchment Area (E2SFCA) algorithm combining 21 public data sources across 8 components. Each ZIP code receives a composite 0-100 score based on provider density, facility access, transportation infrastructure, and social determinants of health.
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