ZIP code
34773
in Saint Cloud, FloridaPopulation 5,816
47.92/ 100
Ranked #19,015 of 32,066 US ZIPs (bottom 41%)
Ranked #656 of 974 Florida ZIPs (bottom 33%)
Ranked #76 of 92 Orlando-Kissimmee-Sanford, FL ZIPs (bottom 17%)
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
200.5 days/year
in the top 0.5% nationally
Lower is healthier
ST84thUS99thDefinition & 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 ›Arsenic in groundwater
1.1%
in the bottom 3.9% nationally
Lower is healthier
ST20thUS4thDefinition & 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 ›Fatal road crashes
48.1 per 100,000 residents per year
in the top 4.4% nationally
Lower is healthier
ST95thUS96thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Floodplain exposure
47.4%
in the top 4.5% nationally
Lower is healthier
ST74thUS96thDefinition & 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 ›Walkability
2.2 intersections/sq mi
in the bottom 8.6% nationally
Higher is healthier
ST2ndUS9thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Unemployment rate
9.0%
in the top 12.1% nationally
Lower is healthier
ST95thUS88thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Radon
0.8 pCi/L
in the bottom 7.7% nationally
Lower is healthier
ST25thUS8thDefinition & 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 ›Distance to a nursing home
7.7 mi
in the top 18% nationally
Lower is healthier
ST93rdUS82ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Households without a vehicle
1.0%
in the bottom 21% nationally
Lower is healthier
ST9thUS21stDefinition & source ›
The share of households with no vehicle available.
Full methodology ›PFAS in drinking water
15.5%
in the bottom 23% nationally
Lower is healthier
ST5thUS23rdDefinition & 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 ›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 humid-heat days and flood exposure.
See the full flooding, evacuation & humid-heat analysis →
The read
In its overall standing, Saint Cloud, Florida (ZIP 34773) lands in the bottom 41% nationally (19,015th) and the bottom 33% of Florida (656th).
Reading the numbers as a whole, the picture lands somewhere in between: modeled arsenic resides in the bottom 3.9% nationally, radon settles in the bottom 7.7% nationally, and energy burden is in the bottom 14.1% nationally. On the other side, modeled humid heat sits in the top 0.5% nationally, fatal road crashes lands in the top 4.4% nationally, and floodplain exposure lies in the top 4.5% nationally. Walkability stands in the bottom 8.6% nationally, and unemployment rests in the top 12.1% nationally. Recreation registers at the national minimum, shared with about 35% of ZIPs. Distance to a nursing home resides in the top 18% nationally.
Against the wider neighborhood, park land runs far lower than the surrounding ZIPs on this measure. Put simply, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. On the overall standing, ZIP 32904, just across the boundary, ranks healthier.
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 Orlando-Kissimmee-Sanford, 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 62%
16%
Environmental Hazard
healthier than 93%
14%
About typical
Chronic Disease Burden
healthier than 59%
21%
Mental Health
healthier than 42%
8%
Disability
healthier than 51%
7%
Holding it back
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 37%
11%
Climate / Disaster Risk
healthier than 2%
5%
Healthcare Access
healthier than 25%
5%
Lifting this score
Environmental Hazard
healthier than 94%
14%
About typical
Chronic Disease Burden
healthier than 59%
21%
Disability
healthier than 57%
7%
Holding it back
Social Need / SDOH
healthier than 38%
16%
Preventive Care
healthier than 29%
13%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 8%
8%
Climate / Disaster Risk
healthier than 16%
5%
Healthcare Access
healthier than 7%
5%
Lifting this score
Environmental Hazard
in the top 0.00%
14%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Social Need / SDOH
healthier than 20%
16%
Preventive Care
healthier than 33%
13%
Risk Behavior
healthier than 15%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 34%
7%
Climate / Disaster Risk
healthier than 13%
5%
Healthcare Access
healthier than 2%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
32904
Floridashares a border
Score 57.14
Closest healthier
32940
Floridashares a border
Score 62.15
Similar health profile
77872
Texas99% similar profile
Score 47.60
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 | 25.2% | 22.4–28.2 |
| High blood pressure among adults | 36.2% | 32.5–40.2 |
| Cancer (non-skin) or melanoma among adults | 8.1% | 7.3–8.9 |
| Current asthma among adults | 10.3% | 9.2–11.6 |
| Coronary heart disease among adults | 6.6% | 5.8–7.4 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.8–9.0 |
| Depression among adults | 21.4% | 18.3–24.7 |
| Diagnosed diabetes among adults | 12.3% | 10.7–14.1 |
| High cholesterol among adults who have ever been screened | 39.1% | 35.2–43.1 |
| Obesity among adults | 38.9% | 32.8–45.3 |
| Stroke among adults | 3.4% | 3.1–3.7 |
| All teeth lost among adults aged >=65 years | 13.3% | 10.9–15.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 14.3% | 12.1–16.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.5% | 72.2–78.5 |
| Visits to doctor for routine checkup within the past year among adults | 76.0% | 72.1–79.3 |
| Cholesterol screening among adults | 85.2% | 83.1–87.1 |
| Colorectal cancer screening among adults aged 45–75 years | 60.6% | 55.9–65.0 |
| Visited dentist or dental clinic in the past year among adults | 56.5% | 53.0–59.9 |
| Mammography use among women aged 50-74 years | 74.0% | 66.6–80.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 13.3–19.3 |
| Current cigarette smoking among adults | 15.6% | 13.2–18.2 |
| No leisure-time physical activity among adults | 25.6% | 21.6–29.9 |
| Short sleep duration among adults | 38.9% | 33.3–44.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.9% | 18.1–23.9 |
| Frequent mental distress among adults | 18.9% | 16.7–21.2 |
| Frequent physical distress among adults | 15.3% | 13.3–17.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.6% | 13.7–17.7 |
| Any disability among adults | 30.6% | 26.6–34.9 |
| Hearing disability among adults | 6.8% | 6.0–7.7 |
| Independent living disability among adults | 8.6% | 7.5–9.8 |
| Mobility disability among adults | 14.2% | 12.2–16.3 |
| Self-care disability among adults | 4.2% | 3.8–4.8 |
| Vision disability among adults | 5.8% | 5.1–6.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.3% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 12.8% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 8.3% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 35.6% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 9.0% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 1.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (1.2–11.0%) n=972 |
| Broadband subscription | 87.3% | 89.3% (75.1–97.1%) n=32,322 | 91.9% (83.2–96.9%) n=972 |
| Housing cost burden (≥30% income) | 31.3% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 89.8% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 0.4% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 13.7% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 51.9% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 18.8% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 37.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $80,524 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $362,900 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,325 | $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 | 79.2 yr ± 1.41 | 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 1.41 years of 79.2, 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