ZIP code
34688
in Tarpon Springs, FloridaPopulation 8,522
59.14/ 100
Ranked #5,500 of 32,066 US ZIPs (top 17%)
Ranked #214 of 974 Florida ZIPs (top 22%)
Ranked #34 of 133 Tampa-St. Petersburg-Clearwater, FL ZIPs (top 26%)
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
186.1 days/year
in the top 1.3% nationally
Lower is healthier
ST58thUS99thDefinition & 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 ›Park land
43.3%
in the top 3.0% nationally
Higher is healthier
ST99thUS97thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Floodplain exposure
47.8%
in the top 4.3% 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 ›Energy-cost burden
1.7%
in the bottom 8.4% nationally
Lower is healthier
ST22ndUS8thDefinition & 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 ›Homeownership rate
93.3%
in the top 11.2% nationally
Higher is healthier
ST94thUS89thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Cognitive disability
10.9%
in the bottom 9.5% nationally
Lower is healthier
ST15thUS9thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
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
On the composite measure, ZIP 34688, one of several in Tarpon Springs, Florida stands in the top 17% healthiest ZIPs nationally (5,500th) and the top 22% of Florida (214th).
Several signals sit on each side of the ledger here: park land sits in the top 3.0% nationally. Modeled extreme heat resides at the national minimum, shared with about 19% of ZIPs. Modeled energy burden stands in the bottom 8.4% nationally, homeownership sits in the top 11.2% nationally, and modeled cognitive disability resides in the bottom 9.5% nationally. Recreation stands in the top 11.9% nationally, and home broadband subscription sits in the top 12.2% nationally. Working the other way, modeled humid heat resides in the top 1.3% nationally, floodplain exposure stands in the top 4.3% nationally, and modeled loud transportation noise sits in the top 11.8% nationally.
Set beside the wider area around it, park land runs far higher than the surrounding ZIPs on this measure. For clarity, 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". Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. ZIP 33556, 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 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
Social Need / SDOH
healthier than 87%
16%
Environmental Hazard
healthier than 74%
14%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 77%
7%
Healthcare Access
healthier than 71%
5%
About typical
Chronic Disease Burden
healthier than 59%
21%
Holding it back
Climate / Disaster Risk
healthier than 3%
5%
Lifting this score
Social Need / SDOH
healthier than 83%
16%
Preventive Care
healthier than 86%
13%
Risk Behavior
healthier than 86%
11%
Mental Health
healthier than 70%
8%
Disability
healthier than 83%
7%
About typical
Chronic Disease Burden
healthier than 59%
21%
Environmental Hazard
healthier than 57%
14%
Healthcare Access
healthier than 53%
5%
Holding it back
Climate / Disaster Risk
healthier than 20%
5%
Lifting this score
Social Need / SDOH
healthier than 81%
16%
Environmental Hazard
healthier than 74%
14%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 85%
8%
Disability
healthier than 75%
7%
About typical
Chronic Disease Burden
healthier than 50%
21%
Holding it back
Climate / Disaster Risk
healthier than 17%
5%
Healthcare Access
healthier than 33%
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 82.6 ± 1.5 years. A median household income of $112,091 predicts 80.5 years — 2.1 years above.
Ranked #898 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 82.6 ± 1.5 years. The 44 nearest ZIP codes with estimates average 78.1 years — 4.5 years above them.
Ranked #218 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
33556
Floridashares a border
Score 63.40
Closest healthier
34685
Floridashares a border
Score 59.52
Similar health profile
32713
Florida100% similar profile
Score 57.17
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 | 30.5% | 27.1–33.8 |
| High blood pressure among adults | 35.7% | 31.8–39.6 |
| Cancer (non-skin) or melanoma among adults | 12.4% | 11.2–13.6 |
| Current asthma among adults | 9.1% | 8.0–10.3 |
| Coronary heart disease among adults | 7.6% | 6.7–8.4 |
| Chronic obstructive pulmonary disease among adults | 7.0% | 6.1–8.0 |
| Depression among adults | 18.9% | 16.0–21.9 |
| Diagnosed diabetes among adults | 11.8% | 10.1–13.4 |
| High cholesterol among adults who have ever been screened | 42.8% | 38.6–47.0 |
| Obesity among adults | 28.9% | 23.6–34.3 |
| Stroke among adults | 3.5% | 3.2–3.9 |
| All teeth lost among adults aged >=65 years | 7.5% | 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 | 7.9% | 6.7–9.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.3% | 77.0–83.2 |
| Visits to doctor for routine checkup within the past year among adults | 80.5% | 77.3–83.5 |
| Cholesterol screening among adults | 90.7% | 89.4–91.9 |
| Colorectal cancer screening among adults aged 45–75 years | 71.1% | 66.8–75.2 |
| Visited dentist or dental clinic in the past year among adults | 68.0% | 65.0–71.0 |
| Mammography use among women aged 50-74 years | 75.1% | 68.4–81.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.2–18.8 |
| Current cigarette smoking among adults | 10.1% | 8.5–11.9 |
| No leisure-time physical activity among adults | 19.8% | 16.6–23.2 |
| Short sleep duration among adults | 32.1% | 27.6–36.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.5% | 13.3–17.7 |
| Frequent mental distress among adults | 13.9% | 12.2–15.6 |
| Frequent physical distress among adults | 12.9% | 11.3–14.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.9% | 9.6–12.3 |
| Any disability among adults | 27.9% | 24.2–31.5 |
| Hearing disability among adults | 8.0% | 7.0–8.9 |
| Independent living disability among adults | 6.4% | 5.6–7.2 |
| Mobility disability among adults | 13.4% | 11.5–15.2 |
| Self-care disability among adults | 3.1% | 2.8–3.5 |
| Vision disability among adults | 4.1% | 3.7–4.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.4% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 9.8% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 2.3% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 51.0% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 5.6% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 3.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (1.2–11.0%) n=972 |
| Broadband subscription | 96.5% | 89.3% (75.1–97.1%) n=32,322 | 91.9% (83.2–96.9%) n=972 |
| Housing cost burden (≥30% income) | 28.3% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 93.3% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 0.8% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 13.2% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 60.3% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 24.6% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 49.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $112,091 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $510,100 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,429 | $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 | 82.6 yr ± 0.79 | 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 0.79 years of 82.6, 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