ZIP code
33139
in Miami Beach, FloridaPopulation 33,753
59.43/ 100
Ranked #5,257 of 32,066 US ZIPs (top 16%)
Ranked #204 of 974 Florida ZIPs (top 21%)
Ranked #77 of 183 Miami-Fort Lauderdale-West Palm Beach, FL ZIPs (top 42%)
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.
Recreation access
3.6 per 1,000 residents
in the top 0.4% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Floodplain exposure
73.8%
in the top 1.5% nationally
Lower is healthier
ST92ndUS99thDefinition & 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 ›Households without a vehicle
28.7%
in the top 2.6% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Pharmacy access
0.66 per 1,000 residents
in the top 2.7% nationally
Higher is healthier
ST98thUS97thDefinition & 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 ›Outpatient-care access
0.85 per 1,000 residents
in the top 2.7% nationally
Higher is healthier
ST92ndUS97thDefinition & 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 ›Housing-cost burden
49.2%
in the top 3.4% nationally
Lower is healthier
ST91stUS97thDefinition & source ›
The share of households spending 30% or more of their income on housing.
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 ›Civic-institution access
1 per 1,000 residents
in the top 4.0% nationally
Higher is healthier
ST95thUS96thDefinition & source ›
The number of civic and social organizations 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 ›Homeownership rate
37.2%
in the bottom 4.6% nationally
Higher is healthier
ST5thUS5thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Energy-cost burden
1.1%
in the bottom 1.6% nationally
Lower is healthier
ST2ndUS2ndDefinition & 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 ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both flood exposure and the share of households without a vehicle.
See the full flooding, evacuation & humid-heat analysis →
The read
On the composite measure, ZIP 33139, one of several in Miami Beach, Florida stands in the top 16% healthiest ZIPs nationally (5,257th) and the top 21% of Florida (204th).
A balanced set of signals defines this area, not any single one: recreation stands in the top 0.4% nationally, and pharmacy sits in the top 2.7% nationally. Outpatient resides in the top 2.7% nationally, and physicians stands in the top 3.5% nationally. Civic sits in the top 4.0% nationally, and modeled energy burden resides in the bottom 1.6% nationally. By contrast, floodplain exposure stands in the top 1.5% nationally, households without a vehicle sits in the top 2.6% nationally, and housing-cost burden resides in the top 3.4% nationally. Homeownership stands in the bottom 4.6% nationally.
Set beside the wider area around it, park land runs far higher than the surrounding ZIPs on this measure. For clarity, 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. ZIP 33109, just across the boundary, ranks better overall among the ZIPs nearby.
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 Miami-Fort Lauderdale-West Palm Beach, FL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 87%
21%
Social Need / SDOH
healthier than 85%
16%
Environmental Hazard
healthier than 87%
14%
Risk Behavior
healthier than 61%
11%
Mental Health
healthier than 96%
8%
Disability
healthier than 69%
7%
Healthcare Access
healthier than 90%
5%
Holding it back
Preventive Care
healthier than 20%
13%
Climate / Disaster Risk
healthier than 8%
5%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 79%
16%
Environmental Hazard
healthier than 84%
14%
Mental Health
healthier than 85%
8%
Disability
healthier than 74%
7%
Healthcare Access
healthier than 86%
5%
About typical
Risk Behavior
healthier than 55%
11%
Climate / Disaster Risk
healthier than 44%
5%
Holding it back
Preventive Care
healthier than 30%
13%
Lifting this score
Chronic Disease Burden
healthier than 74%
21%
Social Need / SDOH
healthier than 64%
16%
Environmental Hazard
healthier than 83%
14%
Disability
healthier than 65%
7%
Healthcare Access
healthier than 83%
5%
About typical
Preventive Care
healthier than 42%
13%
Risk Behavior
healthier than 46%
11%
Mental Health
healthier than 56%
8%
Climate / Disaster Risk
healthier than 52%
5%
Nothing measured is holding this score back.
“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
33109
Floridashares a border
Score 64.54
Closest healthier
33132
Floridashares a border
Score 66.07
Similar health profile
33317
Florida99% similar profile
Score 56.31
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 | 20.3% | 18.0–22.7 |
| High blood pressure among adults | 31.2% | 28.1–34.4 |
| Cancer (non-skin) or melanoma among adults | 7.4% | 6.7–8.1 |
| Current asthma among adults | 8.5% | 7.5–9.5 |
| Coronary heart disease among adults | 6.4% | 5.8–7.0 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.8–6.0 |
| Depression among adults | 15.3% | 13.1–17.6 |
| Diagnosed diabetes among adults | 12.0% | 10.6–13.5 |
| High cholesterol among adults who have ever been screened | 34.7% | 31.3–38.2 |
| Obesity among adults | 26.8% | 22.4–31.4 |
| Stroke among adults | 3.1% | 2.8–3.3 |
| All teeth lost among adults aged >=65 years | 11.8% | 9.9–14.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 17.7% | 15.8–19.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.8% | 71.7–77.6 |
| Visits to doctor for routine checkup within the past year among adults | 75.1% | 71.8–78.0 |
| Cholesterol screening among adults | 86.6% | 85.0–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 61.7% | 57.3–66.1 |
| Visited dentist or dental clinic in the past year among adults | 59.4% | 56.2–62.4 |
| Mammography use among women aged 50-74 years | 75.7% | 69.1–81.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.1% | 14.4–19.9 |
| Current cigarette smoking among adults | 11.3% | 9.8–12.9 |
| No leisure-time physical activity among adults | 25.3% | 22.0–28.5 |
| Short sleep duration among adults | 35.7% | 31.5–40.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.0% | 16.0–20.0 |
| Frequent mental distress among adults | 14.2% | 12.6–15.8 |
| Frequent physical distress among adults | 12.8% | 11.3–14.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 11.1–13.7 |
| Any disability among adults | 25.5% | 22.4–28.5 |
| Hearing disability among adults | 6.7% | 6.0–7.5 |
| Independent living disability among adults | 6.9% | 6.1–7.6 |
| Mobility disability among adults | 12.1% | 10.7–13.6 |
| Self-care disability among adults | 3.8% | 3.5–4.1 |
| Vision disability among adults | 6.0% | 5.5–6.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.6% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 22.4% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 8.6% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 55.4% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 4.1% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 28.7% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (1.2–11.0%) n=972 |
| Broadband subscription | 85.3% | 89.3% (75.1–97.1%) n=32,322 | 91.9% (83.2–96.9%) n=972 |
| Housing cost burden (≥30% income) | 49.2% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 37.2% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 7.1% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 52.3% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 56.4% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 18.2% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 43.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $69,793 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $480,900 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,822 | $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 | 79.0 yr ± 0.56 | 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 0.56 years of 79.0, 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