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Overall Health Score
Residents of 31995 have exceptional access to healthcare across all dimensions.
Data sources: CMS NPPES, Hospital Compare, ACS 5-Year Estimates. Scores recomputed monthly.
97/100
Healthcare Paradise
Comparisons
How the 97/100 overall health score for 31995 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 31995. 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 31995. 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 31995. 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 31995 on the map
Health scores for ZIP codes near 31995
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 |
|---|---|---|---|---|
| 31917 | Columbus, GA | 85 | A- | 0 mi |
| 31901 | Columbus, GA | 74 | B- | 0.7 mi |
| 31906 | Columbus, GA | 73 | B- | 2.15 mi |
| 36867 | Phenix City, AL | 76 | B | 2.63 mi |
| 31903 | Columbus, GA | 68 | C+ | 3.6 mi |
| 36869 | Phenix City, AL | 71 | B- | 4.33 mi |
| 31904 | Columbus, GA | 77 | B | 4.45 mi |
| 31907 | Columbus, GA | 72 | B- | 4.92 mi |
| 36870 | Phenix City, AL | 74 | B- | 5.94 mi |
| 31909 | Columbus, GA | 75 | B | 6.62 mi |
Hospitals, clinics, and care centers near Georgia
Regional Rehabilitation Hospital
Rehabilitation
1.01 mi away
CHILDREN'S HEALTHCARE OF ATLANTA CARDIOLOGY INC
Healthcare Facility
1.26 mi away
COLUMBUS AMBULATORY HEALTHCARE SERVICES, INC.
Healthcare Facility
1.29 mi away
Columbus Specialty Hospital
Acute long–term care
1.33 mi away
ST FRANCIS AFFILIATED SERVICES LLC
Healthcare Facility
1.38 mi away
COLUMBUS AMBULATORY HEALTHCARE SERVICES, INC.
Healthcare Facility
1.38 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.
How transportation barriers affect healthcare access
50/100
Moderate Transportation Vulnerability
Higher scores = more vulnerable to transportation barriers
0.0%
Zero-Vehicle Households
1.01 mi
Nearest Hospital
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.
Columbus, Georgia
Key demographic data for ZIP code 31995
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.
Community reviews for ZIP 31995
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0 reviews
See how 31995 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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