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Overall Health Score
Most healthcare needs can be met within a short drive for residents of 51045.
Data sources: CMS NPPES, Hospital Compare, ACS 5-Year Estimates. Scores recomputed monthly.
79/100
Excellent Access
Comparisons
How the 79/100 overall health score for 51045 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
Health insurance coverage and social determinants of health
The Insurance Index reflects the demographic and social determinants of health in 51045. 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 51045. 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 51045. 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 51045 on the map
Health scores for ZIP codes near 51045
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.
| ZIP Code | City | Score | Grade | Distance |
|---|---|---|---|---|
| 51050 | Remsen, IA | 68 | C+ | 3.92 mi |
| 51031 | Le Mars, IA | 70 | B- | 5.13 mi |
| 51003 | Alton, IA | 96 | A+ | 9.68 mi |
| 51036 | Maurice, IA | 96 | A+ | 10.35 mi |
| 51008 | Brunsville, IA | 68 | C+ | 10.6 mi |
| 51038 | Merrill, IA | 63 | C | 13.96 mi |
| 51022 | Granville, IA | 95 | A+ | 14.06 mi |
| 51041 | Orange City, IA | 97 | A+ | 14.13 mi |
| 51027 | Ireton, IA | 80 | B+ | 15.58 mi |
| 51028 | Kingsley, IA | 37 | F | 16.62 mi |
Active physicians sorted by proximity to Oyens, Iowa
Showing 15 physicians
View on MapProvider density is one of the strongest predictors of healthcare access. ZIPs with fewer than 1 provider per 1,000 residents are classified as Health Professional Shortage Areas by HRSA.
Hospitals, clinics, and care centers near Iowa
FLOYD VALLEY HOSPITAL
Healthcare Facility
5.15 mi away
FLOYD VALLEY HEALTHCARE
Critical Access Hospitals
5.18 mi away
Emergency services access is measured by drive time. The national standard is 30 minutes to the nearest ER. Rural ZIPs often exceed 60 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
45/100
Moderate Transportation Vulnerability
Higher scores = more vulnerable to transportation barriers
0.0%
Zero-Vehicle Households
5.15 mi
Nearest Hospital
75
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.
Oyens, Iowa
92.7% of the population in 51045 drive to work alone. Approximately 78.2% of residents get to work in less than 30 minutes. The average household size is approximately 2.68 members with about 1.64 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 51045 has a total population of 75 with a median age of 53.5. The area is 97.3% White, and 2.7% Hispanic or Latino. The male-to-female ratio is 1.14. There are 10 residents under 18 and 14 residents over 65.
The median household income in 51045 is $96,250. 21.4% earn $200,000 or more. Above-average income levels generally support better healthcare access through ability to afford insurance premiums, copays, and transportation.
There are 28 housing units in 51045, with 26 owner-occupied and 2 renter-occupied. The median monthly housing cost is N/A.
Key demographic data for ZIP code 51045
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 51045
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: $96,250
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.
18.3% 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 51045
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0 reviews
See how 51045 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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