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No prostate cancer score data is available for this ZIP code yet.
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.
Health insurance coverage and social determinants of health
The Insurance Index reflects the demographic and social determinants of health in 95419. 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 95419. 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 95419. 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 95419 on the map
Health scores for ZIP codes near 95419
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 |
|---|---|---|---|---|
| 95465 | Occidental, CA | 14 | F | 3.57 mi |
| 94922 | Bodega, CA | 18 | F | 4.61 mi |
| 95462 | Monte Rio, CA | 15 | F | 4.82 mi |
| 95444 | Graton, CA | 30 | F | 4.86 mi |
| 95486 | Villa Grande, CA | 15 | F | 5 mi |
| 95472 | Sebastopol, CA | 28 | F | 5.24 mi |
| 95436 | Forestville, CA | 27 | F | 5.25 mi |
| 95430 | Duncans Mills, CA | 13 | F | 5.44 mi |
| 94972 | Valley Ford, CA | 18 | F | 6.08 mi |
| 94923 | Bodega Bay, CA | 12 | F | 7.08 mi |
Active physicians sorted by proximity to Camp Meeker, California
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 California
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
72/100
High Transportation Vulnerability
Higher scores = more vulnerable to transportation barriers
23.0%
Zero-Vehicle Households
7.72 mi
Nearest Hospital
160
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.
Camp Meeker, California
42.2% of the population in 95419 drive to work alone. Approximately 42.2% of residents get to work in less than 30 minutes. The average household size is approximately 1.42 members with about 0.89 cars per household. About 23.0% of households have no vehicle, which can significantly impact access to healthcare facilities.
An estimated 89.4% 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. With 10.6% of the population uninsured, access to affordable care remains a significant challenge in this area.
ZIP code 95419 has a total population of 160 with a median age of 55.9. The area is 85.6% White, and 30.6% Hispanic or Latino. The male-to-female ratio is 6.62.
The median household income in 95419 is $89,609. 15.0% of households earn under $25,000 per year. 24.8% 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 158 housing units in 95419, with 70 owner-occupied and 43 renter-occupied. The median monthly housing cost is N/A. Approximately 45 units are vacant.
Key demographic data for ZIP code 95419
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 95419
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: $89,609
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.
38.9% 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 95419
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See how 95419 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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