ZIP code
32763
in Orange City, FloridaPopulation 24,951
50.72/ 100
Ranked #15,248 of 32,066 US ZIPs (top 48%)
Ranked #552 of 974 Florida ZIPs (bottom 43%)
Ranked #20 of 30 Deltona-Daytona Beach-Ormond Beach, FL ZIPs (bottom 33%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Physician access
5.2 per 1,000 residents
in the top 1.2% nationally
Higher is healthier
ST96thUS99thDefinition & source ›
The number of physicians’ offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Humid extreme heat
183.2 days/year
in the top 1.5% nationally
Lower is healthier
ST49thUS99thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›PFAS in drinking water
81.2%
in the top 1.7% nationally
Lower is healthier
ST84thUS98thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Dental provider access
1.1 per 1,000 residents
in the top 5.4% nationally
Higher is healthier
ST91stUS95thDefinition & source ›
The number of dental offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Subsidized affordable housing
428 units
in the top 5.4% nationally
Higher is healthier
ST86thUS95thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Outpatient-care access
0.56 per 1,000 residents
in the top 6.4% nationally
Higher is healthier
ST82ndUS94thDefinition & source ›
The number of outpatient clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Arsenic in groundwater
1.2%
in the bottom 6.4% nationally
Lower is healthier
ST35thUS6thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Pharmacy access
0.43 per 1,000 residents
in the top 7.1% nationally
Higher is healthier
ST92ndUS93rdDefinition & source ›
The number of pharmacies located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Radon
0.8 pCi/L
in the bottom 7.2% nationally
Lower is healthier
ST23rdUS7thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
By its overall health score, Orange City, Florida (ZIP 32763) lands in the top 48% healthiest ZIPs nationally (15,248th) and the bottom 43% of Florida (552nd).
Strengths and concerns sit side by side across the measures here: physicians sits in the top 1.2% nationally, and dental providers rests in the top 5.4% nationally. Distance to an emergency room is at the national minimum, shared with about 11% of ZIPs. Subsidized affordable housing stands in the top 5.4% nationally, outpatient settles in the top 6.4% nationally, and modeled arsenic lies in the bottom 6.4% nationally. Pharmacy resides in the top 7.1% nationally, and mental-health providers lands in the top 12.6% nationally. On the other hand, modeled humid heat registers in the top 1.5% nationally, and pfas sits in the top 1.7% nationally.
Weighed against the ZIPs nearby, physicians runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Overall, the nearest healthier neighbor is ZIP 32713, just across the boundary.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Deltona-Daytona Beach-Ormond Beach, FL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 83%
16%
Risk Behavior
healthier than 66%
11%
Mental Health
healthier than 66%
8%
Healthcare Access
healthier than 85%
5%
About typical
Chronic Disease Burden
healthier than 43%
21%
Environmental Hazard
healthier than 44%
14%
Holding it back
Preventive Care
healthier than 30%
13%
Disability
healthier than 36%
7%
Climate / Disaster Risk
healthier than 20%
5%
Lifting this score
Social Need / SDOH
healthier than 73%
16%
Risk Behavior
healthier than 61%
11%
Climate / Disaster Risk
healthier than 78%
5%
Healthcare Access
healthier than 76%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Preventive Care
healthier than 43%
13%
Disability
healthier than 41%
7%
Holding it back
Environmental Hazard
healthier than 17%
14%
Mental Health
healthier than 30%
8%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Social Need / SDOH
healthier than 78%
16%
Climate / Disaster Risk
healthier than 85%
5%
Healthcare Access
healthier than 70%
5%
Holding it back
Environmental Hazard
healthier than 11%
14%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 26%
8%
Disability
healthier than 33%
7%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
32713
Floridashares a border
Score 57.17
Closest healthier
32724
Floridashares a border
Score 51.04
Similar health profile
34984
Florida95% similar profile
Score 50.88
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 28.8% | 26.1–31.8 |
| High blood pressure among adults | 38.5% | 35.2–42.1 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.5–11.4 |
| Current asthma among adults | 10.1% | 9.1–11.3 |
| Coronary heart disease among adults | 8.4% | 7.6–9.3 |
| Chronic obstructive pulmonary disease among adults | 8.7% | 7.8–9.8 |
| Depression among adults | 19.7% | 17.1–22.6 |
| Diagnosed diabetes among adults | 13.5% | 11.9–15.2 |
| High cholesterol among adults who have ever been screened | 40.2% | 36.7–43.9 |
| Obesity among adults | 32.8% | 28.0–38.3 |
| Stroke among adults | 4.2% | 3.9–4.7 |
| All teeth lost among adults aged >=65 years | 13.7% | 11.3–16.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.5% | 13.7–17.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.7% | 77.3–82.1 |
| Visits to doctor for routine checkup within the past year among adults | 78.5% | 75.5–81.5 |
| Cholesterol screening among adults | 86.3% | 84.7–87.8 |
| Colorectal cancer screening among adults aged 45–75 years | 65.9% | 61.3–70.2 |
| Visited dentist or dental clinic in the past year among adults | 56.6% | 53.0–60.0 |
| Mammography use among women aged 50-74 years | 72.1% | 64.9–78.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.6% | 12.3–17.2 |
| Current cigarette smoking among adults | 14.5% | 12.7–16.4 |
| No leisure-time physical activity among adults | 26.9% | 23.3–30.6 |
| Short sleep duration among adults | 34.3% | 29.6–39.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.9% | 19.6–24.6 |
| Frequent mental distress among adults | 17.4% | 15.7–19.3 |
| Frequent physical distress among adults | 15.8% | 14.1–17.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.1% | 13.6–16.8 |
| Any disability among adults | 35.2% | 31.7–38.9 |
| Hearing disability among adults | 8.8% | 7.9–9.8 |
| Independent living disability among adults | 9.2% | 8.3–10.3 |
| Mobility disability among adults | 16.7% | 14.9–18.8 |
| Self-care disability among adults | 4.4% | 4.0–4.8 |
| Vision disability among adults | 6.3% | 5.7–6.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.0% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 14.9% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 11.0% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 23.5% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 4.5% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 6.1% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (1.2–11.0%) n=972 |
| Broadband subscription | 90.9% | 89.3% (75.1–97.1%) n=32,322 | 91.9% (83.2–96.9%) n=972 |
| Housing cost burden (≥30% income) | 35.2% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 64.7% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 3.4% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 7.0% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 48.7% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 23.1% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 44.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $66,716 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $261,000 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,554 | $1,021 ($677–$1,912) n=25,670 | $1,604 ($968–$2,218) n=901 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 77.2 yr ± 0.67 | 78.9 yr (74.7–82.8) n=31,308 | 78.2 yr (74.6–82.2) n=894 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 0.67 years of 77.2, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured