ZIP code
33493
in South Bay, FloridaPopulation 5,158
36.89/ 100
Ranked #28,588 of 32,066 US ZIPs (bottom 10.9%)
Ranked #928 of 974 Florida ZIPs (bottom 4.8%)
Ranked #179 of 183 Miami-Fort Lauderdale-West Palm Beach, FL ZIPs (bottom 2.2%)
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.
Uninsured (under 65)
26.8%
in the top 1.8% nationally
Lower is healthier
ST95thUS98thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Short sleep
48.4%
in the top 0.8% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Humid extreme heat
203.8 days/year
in the top 0.4% nationally
Lower is healthier
ST88thUS99thDefinition & 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 ›Tooth loss
32.5%
in the top 2.0% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Colon-cancer screening
51.6%
in the bottom 2.7% nationally
Higher is healthier
ST1stUS3rdDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Walkability
0.53 intersections/sq mi
in the bottom 1.2% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Crowded housing
20.2%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Mental-health provider access
0.39 per 1,000 residents
in the top 1.4% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Vision disability
10.1%
in the top 4.7% nationally
Lower is healthier
ST94thUS95thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Floodplain exposure
63.2%
in the top 2.3% nationally
Lower is healthier
ST86thUS98thDefinition & 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 ›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 →This area ranks among the highest 10% of US ZIP codes for both humid-heat days and flood exposure.
See the full flooding, evacuation & humid-heat analysis →
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.
These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.
Health need documented here
- People without health insurance
- People living in poverty
- Adults reporting fair or poor health
- Chronic conditions
Barriers to reaching care
- Thin local supply of pharmacies
- Households with no vehicle
- Limited home internet for telehealth
A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.
See the full care-deserts analysis →The read
South Bay, Florida (ZIP 33493) ranks in the bottom 10.9% nationally (28,588th) and the bottom 4.8% of Florida (928th).
Several signals ground this area in the numbers: modeled uninsured rests in the top 1.8% nationally, and short sleep lands in the top 0.8% nationally. Modeled humid heat settles in the top 0.4% nationally, and tooth loss rests in the top 2.0% nationally. Modeled colon screening lands in the bottom 2.7% nationally, walkability settles in the bottom 1.2% nationally, and crowded housing rests in the top 1.2% nationally. Modeled vision disability lands in the top 4.7% nationally, and floodplain exposure settles in the top 2.3% nationally. On the encouraging side, mental-health providers rests in the top 1.4% nationally.
Against its neighbors, outer-floodplain exposure runs far lower than the surrounding ZIPs on this measure. For context, 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". The closest ZIP that ranks healthier overall is ZIP 33430, just across the boundary. The area also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.
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
Environmental Hazard
healthier than 75%
14%
Mental Health
healthier than 77%
8%
Holding it back
Chronic Disease Burden
healthier than 40%
21%
Social Need / SDOH
healthier than 26%
16%
Preventive Care
healthier than 3%
13%
Risk Behavior
healthier than 2%
11%
Disability
healthier than 10%
7%
Climate / Disaster Risk
in the bottom 0.4%
5%
Healthcare Access
healthier than 38%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 41%
21%
Environmental Hazard
healthier than 59%
14%
Mental Health
healthier than 46%
8%
Holding it back
Social Need / SDOH
healthier than 7%
16%
Preventive Care
healthier than 2%
13%
Risk Behavior
in the bottom 0.8%
11%
Disability
healthier than 8%
7%
Climate / Disaster Risk
healthier than 1%
5%
Healthcare Access
healthier than 12%
5%
Lifting this score
Environmental Hazard
healthier than 66%
14%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 2%
16%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 1%
11%
Mental Health
healthier than 10%
8%
Disability
healthier than 9%
7%
Climate / Disaster Risk
in the bottom 0.00%
5%
Healthcare Access
healthier than 1%
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
One of our published findings lists 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.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 76.8 ± 3.2 years. The 45 nearest ZIP codes with estimates average 80.6 years — 3.8 years below them.
Ranked #2,923 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
33430
Floridashares a border
Score 40.58
Closest healthier
33440
Floridashares a border
Score 38.60
Similar health profile
32460
Florida99% similar profile
Score 43.19
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 | 23.5% | 20.9–26.2 |
| High blood pressure among adults | 40.3% | 36.8–44.0 |
| Cancer (non-skin) or melanoma among adults | 4.5% | 4.1–5.0 |
| Current asthma among adults | 10.4% | 9.2–11.7 |
| Coronary heart disease among adults | 7.6% | 6.7–8.5 |
| Chronic obstructive pulmonary disease among adults | 8.8% | 7.5–10.2 |
| Depression among adults | 14.5% | 12.4–17.0 |
| Diagnosed diabetes among adults | 17.6% | 15.5–19.8 |
| High cholesterol among adults who have ever been screened | 33.8% | 30.5–37.4 |
| Obesity among adults | 36.9% | 31.3–42.9 |
| Stroke among adults | 4.9% | 4.4–5.5 |
| All teeth lost among adults aged >=65 years | 32.5% | 27.3–37.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 26.8% | 22.6–31.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.1% | 71.0–77.3 |
| Visits to doctor for routine checkup within the past year among adults | 74.6% | 71.2–78.0 |
| Cholesterol screening among adults | 79.1% | 76.4–81.7 |
| Colorectal cancer screening among adults aged 45–75 years | 51.6% | 46.1–56.8 |
| Visited dentist or dental clinic in the past year among adults | 36.6% | 33.1–39.9 |
| Mammography use among women aged 50-74 years | 76.2% | 68.7–82.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.8% | 11.5–16.5 |
| Current cigarette smoking among adults | 22.6% | 19.4–26.3 |
| No leisure-time physical activity among adults | 36.8% | 31.9–42.0 |
| Short sleep duration among adults | 48.4% | 42.8–53.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 32.2% | 28.1–36.5 |
| Frequent mental distress among adults | 19.7% | 17.4–22.1 |
| Frequent physical distress among adults | 17.2% | 15.1–19.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.3% | 17.6–23.2 |
| Any disability among adults | 39.2% | 34.5–44.1 |
| Hearing disability among adults | 6.4% | 5.7–7.3 |
| Independent living disability among adults | 12.2% | 10.5–14.0 |
| Mobility disability among adults | 19.2% | 16.6–22.1 |
| Self-care disability among adults | 7.3% | 6.3–8.4 |
| Vision disability among adults | 10.1% | 8.9–11.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 31.7% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 24.9% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 38.3% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 8.7% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 8.8% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 14.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (1.2–11.0%) n=972 |
| Broadband subscription | 72.8% | 89.3% (75.1–97.1%) n=32,322 | 91.9% (83.2–96.9%) n=972 |
| Housing cost burden (≥30% income) | 42.7% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 60.7% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 20.2% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 19.1% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 32.9% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 11.5% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 37.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $53,083 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $137,000 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,085 | $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 | 76.8 yr ± 1.64 | 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 1.64 years of 76.8, 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