ZIP code
34986
in Port Saint Lucie, FloridaPopulation 30,715
61.60/ 100
Ranked #3,752 of 32,066 US ZIPs (top 11.8%)
Ranked #142 of 974 Florida ZIPs (top 14.6%)
Ranked #3 of 21 Port St. Lucie, FL ZIPs (top 14.3%)
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.
Humid extreme heat
197.6 days/year
in the top 0.6% nationally
Lower is healthier
ST80thUS99thDefinition & 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 ›Dental provider access
1.4 per 1,000 residents
in the top 2.8% nationally
Higher is healthier
ST95thUS97thDefinition & 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 ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Physician access
3 per 1,000 residents
in the top 3.5% nationally
Higher is healthier
ST88thUS97thDefinition & 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 ›Subsidized affordable housing
548 units
in the top 4.0% nationally
Higher is healthier
ST90thUS96thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Natural-disaster risk
in the top 4.7% nationally
Lower is healthier
ST95thUS95thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Obesity
26.9%
in the bottom 8.9% nationally
Lower is healthier
ST13thUS9thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Recreation access
1.1 per 1,000 residents
in the top 7.2% nationally
Higher is healthier
ST86thUS93rdDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Grocery access
0.2 per 1,000 residents
in the top 7.3% nationally
Higher is healthier
ST92ndUS93rdDefinition & 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 ›Mental-health provider access
0.13 per 1,000 residents
in the top 7.8% nationally
Higher is healthier
ST89thUS92ndDefinition & source ›
The number of mental-health 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 ›The read
By the composite measure, ZIP 34986, one of several in Port Saint Lucie, Florida sits in the top 11.8% healthiest ZIPs nationally (3,752nd) and the top 14.6% of Florida (142nd).
The readings split fairly evenly between strengths and concerns: dental providers settles in the top 2.8% nationally, floodplain exposure stands at the national minimum, and physicians is in the top 3.5% nationally. Subsidized affordable housing rests in the top 4.0% nationally, modeled obesity sits in the bottom 8.9% nationally, and recreation registers in the top 7.2% nationally. Grocery lands in the top 7.3% nationally, and mental-health providers resides in the top 7.8% nationally. Working the other way, modeled humid heat lies in the top 0.6% nationally, and disaster risk settles in the top 4.7% nationally.
Compared with the ZIPs that surround it, park land runs far lower than the surrounding ZIPs on this measure. In plain language, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". ZIP 34987, just across the boundary, ranks healthier overall.
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 Port St. Lucie, 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 94%
16%
Environmental Hazard
healthier than 88%
14%
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 97%
8%
Disability
healthier than 63%
7%
About typical
Chronic Disease Burden
healthier than 42%
21%
Healthcare Access
healthier than 51%
5%
Holding it back
Climate / Disaster Risk
healthier than 31%
5%
Lifting this score
Social Need / SDOH
healthier than 95%
16%
Environmental Hazard
healthier than 84%
14%
Preventive Care
healthier than 88%
13%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 87%
8%
Disability
healthier than 69%
7%
Climate / Disaster Risk
healthier than 93%
5%
About typical
Chronic Disease Burden
healthier than 43%
21%
Holding it back
Healthcare Access
healthier than 22%
5%
Lifting this score
Social Need / SDOH
healthier than 89%
16%
Environmental Hazard
healthier than 84%
14%
Preventive Care
healthier than 79%
13%
Risk Behavior
healthier than 89%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 89%
7%
Climate / Disaster Risk
healthier than 68%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Holding it back
Healthcare Access
in the bottom 0.00%
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 83.0 ± 1.4 years. A median household income of $80,047 predicts 79.2 years — 3.8 years above.
Ranked #224 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 83.0 ± 1.4 years. The 48 nearest ZIP codes with estimates average 79.4 years — 3.6 years above them.
Ranked #506 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
34945
Floridashares a border
Score 48.96
Closest healthier
34987
Floridashares a border
Score 61.96
Similar health profile
33496
Florida98% similar profile
Score 65.33
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 | 32.8% | 29.6–36.1 |
| High blood pressure among adults | 41.1% | 37.3–44.9 |
| Cancer (non-skin) or melanoma among adults | 13.4% | 12.3–14.6 |
| Current asthma among adults | 9.3% | 8.3–10.4 |
| Coronary heart disease among adults | 8.8% | 7.8–9.7 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 6.6–8.5 |
| Depression among adults | 15.6% | 13.3–18.0 |
| Diagnosed diabetes among adults | 13.5% | 11.8–15.3 |
| High cholesterol among adults who have ever been screened | 43.7% | 39.8–47.6 |
| Obesity among adults | 26.9% | 22.1–32.0 |
| Stroke among adults | 4.2% | 3.8–4.6 |
| All teeth lost among adults aged >=65 years | 7.6% | 6.1–9.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.0% | 10.5–13.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.3% | 80.8–85.5 |
| Visits to doctor for routine checkup within the past year among adults | 81.5% | 78.8–84.0 |
| Cholesterol screening among adults | 91.5% | 90.5–92.5 |
| Colorectal cancer screening among adults aged 45–75 years | 73.3% | 69.2–77.1 |
| Visited dentist or dental clinic in the past year among adults | 64.1% | 60.9–67.2 |
| Mammography use among women aged 50-74 years | 77.4% | 70.9–83.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.1% | 10.1–14.3 |
| Current cigarette smoking among adults | 9.8% | 8.4–11.3 |
| No leisure-time physical activity among adults | 22.9% | 19.5–26.4 |
| Short sleep duration among adults | 32.4% | 27.6–37.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.2% | 15.0–19.6 |
| Frequent mental distress among adults | 13.4% | 11.9–14.9 |
| Frequent physical distress among adults | 13.8% | 12.2–15.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.0% | 9.7–12.3 |
| Any disability among adults | 31.1% | 27.5–34.8 |
| Hearing disability among adults | 9.1% | 8.1–10.1 |
| Independent living disability among adults | 6.9% | 6.1–7.8 |
| Mobility disability among adults | 15.5% | 13.5–17.6 |
| Self-care disability among adults | 3.5% | 3.1–3.9 |
| Vision disability among adults | 4.9% | 4.4–5.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.5% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 11.7% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 7.4% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 35.3% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 9.4% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 3.4% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (1.2–11.0%) n=972 |
| Broadband subscription | 93.1% | 89.3% (75.1–97.1%) n=32,322 | 91.9% (83.2–96.9%) n=972 |
| Housing cost burden (≥30% income) | 32.1% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 84.4% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 1.3% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 15.4% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 70.2% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 37.4% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 57.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $80,047 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $408,800 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,713 | $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 | 83.0 yr ± 0.69 | 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 0.69 years of 83.0, 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