ZIP code
32951
in Melbourne Beach, FloridaPopulation 11,299
62.40/ 100
Ranked #3,294 of 32,066 US ZIPs (top 10.3%)
Ranked #116 of 974 Florida ZIPs (top 12.0%)
Ranked #3 of 27 Palm Bay-Melbourne-Titusville, FL ZIPs (top 11.2%)
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.
Colon-cancer screening
76.5%
in the top 1.4% nationally
Higher is healthier
ST96thUS99thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›High cholesterol
46.3%
in the top 2.3% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Cognitive disability
9.4%
in the bottom 3.0% nationally
Lower is healthier
ST4thUS3rdDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Floodplain exposure
40.6%
in the top 6.1% nationally
Lower is healthier
ST64thUS94thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Short sleep
28.9%
in the bottom 5.5% nationally
Lower is healthier
ST3rdUS5thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Energy-cost burden
1.5%
in the bottom 4.9% nationally
Lower is healthier
ST11thUS5thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Binge drinking
12.1%
in the bottom 7.3% nationally
Lower is healthier
ST13thUS7thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Grocery access
0.17 per 1,000 residents
in the top 9.2% nationally
Higher is healthier
ST88thUS91stDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Park land
13.2%
in the top 9.7% nationally
Higher is healthier
ST90thUS90thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Tooth loss
6.7%
in the bottom 7.0% nationally
Lower is healthier
ST6thUS7thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›The read
Melbourne Beach, Florida (ZIP 32951) ranks in the top 10.3% healthiest ZIPs nationally (3,294th) and the top 12.0% of Florida (116th).
The bright spots in the data define much of the story here: modeled colon screening lands in the top 1.4% nationally, and cognitive disability settles in the bottom 3.0% nationally. Modeled short sleep rests in the bottom 5.5% nationally, and energy burden lands in the bottom 4.9% nationally. Modeled binge drinking settles in the bottom 7.3% nationally, and grocery rests in the top 9.2% nationally. Modeled extreme heat lands at the national minimum, shared with about 19% of ZIPs. Park land settles in the top 9.7% nationally. On the other side, modeled high cholesterol rests in the top 2.3% nationally, and floodplain exposure lands in the top 6.1% nationally.
Against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. For context, floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Energy burden is the share of household income that goes to home energy bills. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. The closest ZIP that ranks healthier overall is ZIP 32903, 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 Palm Bay-Melbourne-Titusville, 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 85%
16%
Environmental Hazard
healthier than 68%
14%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 76%
7%
Healthcare Access
healthier than 68%
5%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Climate / Disaster Risk
healthier than 19%
5%
Lifting this score
Social Need / SDOH
healthier than 79%
16%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 89%
8%
Disability
healthier than 82%
7%
Climate / Disaster Risk
healthier than 77%
5%
About typical
Environmental Hazard
healthier than 47%
14%
Healthcare Access
healthier than 46%
5%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Lifting this score
Social Need / SDOH
healthier than 73%
16%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.00%
8%
Disability
healthier than 88%
7%
Climate / Disaster Risk
healthier than 69%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Environmental Hazard
healthier than 27%
14%
Healthcare Access
healthier than 38%
5%
“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 ›
Findings that name this ZIP
2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 82.5 ± 2.1 years. A median household income of $98,420 predicts 80.0 years — 2.5 years above.
Ranked #661 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 82.5 ± 2.1 years. The 48 nearest ZIP codes with estimates average 78.3 years — 4.2 years above them.
Ranked #300 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
32901
Floridashares a border
Score 49.82
Closest healthier
32903
Floridashares a border
Score 63.60
Similar health profile
33928
Florida99% similar profile
Score 61.79
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 | 36.0% | 32.3–39.7 |
| High blood pressure among adults | 43.1% | 39.0–47.2 |
| Cancer (non-skin) or melanoma among adults | 15.4% | 14.1–16.9 |
| Current asthma among adults | 8.9% | 7.9–10.1 |
| Coronary heart disease among adults | 9.2% | 8.1–10.3 |
| Chronic obstructive pulmonary disease among adults | 7.6% | 6.4–8.8 |
| Depression among adults | 16.9% | 14.3–19.6 |
| Diagnosed diabetes among adults | 13.3% | 11.4–15.2 |
| High cholesterol among adults who have ever been screened | 46.3% | 42.1–50.5 |
| Obesity among adults | 30.1% | 24.9–35.6 |
| Stroke among adults | 4.0% | 3.6–4.5 |
| All teeth lost among adults aged >=65 years | 6.7% | 5.4–8.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.6% | 5.4–7.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.9% | 81.1–86.4 |
| Visits to doctor for routine checkup within the past year among adults | 84.4% | 81.8–86.7 |
| Cholesterol screening among adults | 93.3% | 92.3–94.2 |
| Colorectal cancer screening among adults aged 45–75 years | 76.5% | 72.8–79.9 |
| Visited dentist or dental clinic in the past year among adults | 67.5% | 64.5–70.6 |
| Mammography use among women aged 50-74 years | 80.3% | 74.3–85.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.1% | 10.0–14.4 |
| Current cigarette smoking among adults | 8.9% | 7.3–10.7 |
| No leisure-time physical activity among adults | 19.5% | 16.2–23.1 |
| Short sleep duration among adults | 28.9% | 24.6–33.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.1% | 12.8–17.5 |
| Frequent mental distress among adults | 12.0% | 10.5–13.7 |
| Frequent physical distress among adults | 13.1% | 11.4–14.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.4% | 8.0–10.7 |
| Any disability among adults | 29.1% | 25.3–33.0 |
| Hearing disability among adults | 9.4% | 8.3–10.6 |
| Independent living disability among adults | 6.1% | 5.2–6.9 |
| Mobility disability among adults | 14.5% | 12.4–16.8 |
| Self-care disability among adults | 3.1% | 2.7–3.5 |
| Vision disability among adults | 3.9% | 3.5–4.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.7% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 6.4% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 2.0% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 56.5% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 2.5% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 2.4% | 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) | 29.1% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 85.4% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 0.2% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 6.6% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 80.2% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 43.4% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 61.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $98,420 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $567,300 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,716 | $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 | 82.5 yr ± 1.09 | 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 1.09 years of 82.5, 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