ZIP code
33565
in Plant City, FloridaPopulation 18,108
45.62/ 100
Ranked #21,751 of 32,066 US ZIPs (bottom 32%)
Ranked #723 of 974 Florida ZIPs (bottom 26%)
Ranked #113 of 133 Tampa-St. Petersburg-Clearwater, FL ZIPs (bottom 15%)
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
192.9 days/year
in the top 0.8% nationally
Lower is healthier
ST73rdUS99thDefinition & 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 3.3% nationally
Lower is healthier
ST16thUS3rdDefinition & 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 ›Park land
18.6%
in the top 7.4% nationally
Higher is healthier
ST93rdUS93rdDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›High cholesterol
44.6%
in the top 5.3% nationally
Lower is healthier
ST85thUS95thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›PFAS in drinking water
57.4%
in the top 9.1% nationally
Lower is healthier
ST64thUS91stDefinition & 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 ›Floodplain exposure
31.5%
in the top 9.3% nationally
Lower is healthier
ST48thUS91stDefinition & 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 ›Uninsured (under 65)
16.2%
in the top 8.8% nationally
Lower is healthier
ST68thUS91stDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Homeownership rate
90.9%
in the top 16% nationally
Higher is healthier
ST91stUS84thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
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, ZIP 33565, one of several in Plant City, Florida lands in the bottom 32% nationally (21,751st) and the bottom 26% of Florida (723rd).
Taken together, the data gives a genuinely mixed reading: modeled arsenic rests in the bottom 3.3% nationally, park land registers in the top 7.4% nationally, and homeownership resides in the top 16% nationally. On the other side, modeled humid heat settles in the top 0.8% nationally, high cholesterol is in the top 5.3% nationally, and pfas sits in the top 9.1% nationally. Floodplain exposure lands in the top 9.3% nationally, and modeled uninsured lies in the top 8.8% nationally. Modeled tooth loss stands in the top 13.1% nationally, and expected annual loss rests in the top 16% nationally.
Against the wider neighborhood, park land runs far higher 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. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. On the overall standing, ZIP 33527, 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 Tampa-St. Petersburg-Clearwater, FL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Mental Health
healthier than 73%
8%
Healthcare Access
healthier than 70%
5%
About typical
Social Need / SDOH
healthier than 59%
16%
Environmental Hazard
healthier than 43%
14%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Preventive Care
healthier than 24%
13%
Risk Behavior
healthier than 39%
11%
Disability
healthier than 28%
7%
Climate / Disaster Risk
healthier than 7%
5%
Nothing measured is lifting this score.
About typical
Healthcare Access
healthier than 49%
5%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Social Need / SDOH
healthier than 34%
16%
Environmental Hazard
healthier than 16%
14%
Preventive Care
healthier than 37%
13%
Risk Behavior
healthier than 32%
11%
Mental Health
healthier than 40%
8%
Disability
healthier than 31%
7%
Climate / Disaster Risk
healthier than 38%
5%
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Social Need / SDOH
healthier than 20%
16%
Environmental Hazard
healthier than 24%
14%
Preventive Care
healthier than 29%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 37%
8%
Disability
healthier than 24%
7%
Climate / Disaster Risk
healthier than 35%
5%
Healthcare Access
healthier than 28%
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
33527
Floridashares a border
Score 46.88
Closest healthier
33540
Floridashares a border
Score 46.84
Similar health profile
39520
Mississippi99% similar profile
Score 46.82
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 | 29.4% | 26.5–32.2 |
| High blood pressure among adults | 39.8% | 36.4–43.3 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.2–11.1 |
| Current asthma among adults | 9.9% | 8.8–11.1 |
| Coronary heart disease among adults | 8.9% | 8.0–9.8 |
| Chronic obstructive pulmonary disease among adults | 9.8% | 8.7–11.0 |
| Depression among adults | 18.6% | 15.9–21.3 |
| Diagnosed diabetes among adults | 14.7% | 13.0–16.6 |
| High cholesterol among adults who have ever been screened | 44.6% | 41.0–48.2 |
| Obesity among adults | 32.1% | 27.4–37.1 |
| Stroke among adults | 4.4% | 4.0–4.8 |
| All teeth lost among adults aged >=65 years | 21.7% | 18.2–25.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 16.2% | 14.1–18.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.9% | 76.2–81.3 |
| Visits to doctor for routine checkup within the past year among adults | 77.5% | 74.3–80.3 |
| Cholesterol screening among adults | 85.7% | 84.0–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 64.9% | 60.2–69.1 |
| Visited dentist or dental clinic in the past year among adults | 51.6% | 48.2–54.8 |
| Mammography use among women aged 50-74 years | 74.3% | 67.3–80.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.5% | 13.1–18.1 |
| Current cigarette smoking among adults | 15.9% | 13.7–18.2 |
| No leisure-time physical activity among adults | 27.3% | 23.6–31.1 |
| Short sleep duration among adults | 38.2% | 33.6–42.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.1% | 20.5–25.9 |
| Frequent mental distress among adults | 17.4% | 15.5–19.4 |
| Frequent physical distress among adults | 16.5% | 14.7–18.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 13.7–17.3 |
| Any disability among adults | 35.6% | 31.8–39.3 |
| Hearing disability among adults | 9.1% | 8.1–10.1 |
| Independent living disability among adults | 9.7% | 8.6–10.9 |
| Mobility disability among adults | 17.9% | 15.8–20.1 |
| Self-care disability among adults | 4.9% | 4.4–5.5 |
| Vision disability among adults | 6.8% | 6.2–7.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.1% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 23.8% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 11.1% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 25.1% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 3.5% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 3.6% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (1.2–11.0%) n=972 |
| Broadband subscription | 89.5% | 89.3% (75.1–97.1%) n=32,322 | 91.9% (83.2–96.9%) n=972 |
| Housing cost burden (≥30% income) | 25.9% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 90.9% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 3.5% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 10.2% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 57.6% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 20.6% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 44.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $73,414 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $273,200 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,454 | $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 | 78.0 yr ± 0.97 | 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 0.97 years of 78.0, 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