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ZipVitals

ZIP code

32754

in Mims, FloridaPopulation 12,011

50.48/ 100

Ranked #15,581 of 32,066 US ZIPs (top 49%)

Ranked #561 of 974 Florida ZIPs (bottom 42%)

Ranked #19 of 27 Palm Bay-Melbourne-Titusville, FL ZIPs (bottom 30%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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

182.1 days/year

in the top 1.6% nationally

Lower is healthier

ST46th
US98th
Definition & 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

0.99%

in the bottom 2.0% nationally

Lower is healthier

ST11th
US2nd
Definition & 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 ›

Floodplain exposure

49.9%

in the top 4.0% nationally

Lower is healthier

ST76th
US96th
Definition & 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 ›

Lithium in drinking water

10 µg/L

in the bottom 7.1% nationally

Lower is healthier

ST21st
US7th
Definition & source ›

The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.

Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.

Full methodology ›

Outer-floodplain exposure

4.7%

in the top 7.6% nationally

Lower is healthier

ST87th
US92nd
Definition & source ›

The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.

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 ›

PFAS in drinking water

59.8%

in the top 8.1% nationally

Lower is healthier

ST66th
US92nd
Definition & 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 ›

Fatal road crashes

35 per 100,000 residents per year

in the top 9.6% nationally

Lower is healthier

ST91st
US90th
Definition & 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 ›

Homeownership rate

92.3%

in the top 13.0% nationally

Higher is healthier

ST93rd
US87th
Definition & source ›

The share of occupied homes that are owned, rather than rented, by the people living in them.

Full methodology ›

Radon

0.8 pCi/L

in the bottom 8.5% nationally

Lower is healthier

ST28th
US8th
Definition & 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 ›

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.

The read

On balance, and by the composite measure, Mims, Florida (ZIP 32754) ranks in the top 49% healthiest ZIPs nationally (15,581st) and the bottom 42% of Florida (561st).

continue reading

Strengths and concerns sit side by side across the measures here: modeled arsenic lands in the bottom 2.0% nationally, and lithium in drinking water registers in the bottom 7.1% nationally. Homeownership sits in the top 13.0% nationally, and modeled radon rests in the bottom 8.5% nationally. On the other hand, modeled humid heat is in the top 1.6% nationally, floodplain exposure stands in the top 4.0% nationally, and outer-floodplain exposure settles in the top 7.6% nationally. Modeled pfas lies in the top 8.1% nationally, fatal road crashes resides in the top 9.6% nationally, and PFOS in drinking water lands in the top 17% nationally.

Compared with the ZIPs it borders, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. In plainer terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. 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. For a healthier nearby ZIP overall, look to ZIP 32709, just across the boundary.

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 Palm Bay-Melbourne-Titusville, FL metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Social Need / SDOH

healthier than 61%

16%

Environmental Hazard

healthier than 73%

14%

Preventive Care

healthier than 66%

13%

Risk Behavior

healthier than 68%

11%

Mental Health

healthier than 69%

8%

Healthcare Access

healthier than 69%

5%

About typical

Disability

healthier than 48%

7%

Holding it back

Chronic Disease Burden

healthier than 36%

21%

Climate / Disaster Risk

healthier than 2%

5%

Lifting this score

Preventive Care

healthier than 75%

13%

Risk Behavior

healthier than 65%

11%

About typical

Environmental Hazard

healthier than 57%

14%

Disability

healthier than 54%

7%

Healthcare Access

healthier than 47%

5%

Holding it back

Chronic Disease Burden

healthier than 36%

21%

Social Need / SDOH

healthier than 37%

16%

Mental Health

healthier than 34%

8%

Climate / Disaster Risk

healthier than 18%

5%

Nothing measured is lifting this score.

About typical

Preventive Care

healthier than 46%

13%

Healthcare Access

healthier than 42%

5%

Holding it back

Chronic Disease Burden

healthier than 35%

21%

Social Need / SDOH

healthier than 12%

16%

Environmental Hazard

healthier than 38%

14%

Risk Behavior

healthier than 38%

11%

Mental Health

healthier than 31%

8%

Disability

healthier than 38%

7%

Climate / Disaster Risk

healthier than 15%

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.

  • Below what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 76.2 ± 1.2 years. A median household income of $75,364 predicts 79.0 years — 2.7 years below.

    Ranked #3,757 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Below its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 76.2 ± 1.2 years. The 48 nearest ZIP codes with estimates average 78.4 years — 2.2 years below them.

    Ranked #1,721 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.

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
MeasureCrude prevalence95% CI
Arthritis among adults31.9%28.9–34.9
High blood pressure among adults40.2%36.7–43.7
Cancer (non-skin) or melanoma among adults11.0%10.0–12.0
Current asthma among adults10.1%9.1–11.3
Coronary heart disease among adults8.4%7.7–9.3
Chronic obstructive pulmonary disease among adults9.1%8.1–10.1
Depression among adults19.8%17.2–22.6
Diagnosed diabetes among adults13.5%11.9–15.2
High cholesterol among adults who have ever been screened41.6%37.9–45.1
Obesity among adults34.6%29.4–39.8
Stroke among adults4.2%3.8–4.5
All teeth lost among adults aged >=65 years12.4%10.2–14.8
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years10.4%9.0–12.0
Taking medicine to control high blood pressure among adults with high blood pressure79.3%76.5–81.8
Visits to doctor for routine checkup within the past year among adults79.5%76.5–82.2
Cholesterol screening among adults88.2%86.8–89.5
Colorectal cancer screening among adults aged 45–75 years70.6%66.5–74.5
Visited dentist or dental clinic in the past year among adults58.7%55.5–62.0
Mammography use among women aged 50-74 years77.0%70.9–82.4
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.7%12.4–17.2
Current cigarette smoking among adults15.0%13.1–17.1
No leisure-time physical activity among adults24.5%21.1–28.2
Short sleep duration among adults34.4%29.8–39.3
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults19.8%17.5–22.1
Frequent mental distress among adults17.0%15.3–18.8
Frequent physical distress among adults15.4%13.7–17.0
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults14.0%12.6–15.6
Any disability among adults33.0%29.5–36.6
Hearing disability among adults8.5%7.7–9.4
Independent living disability among adults8.4%7.5–9.2
Mobility disability among adults16.2%14.3–18.2
Self-care disability among adults4.1%3.7–4.5
Vision disability among adults5.2%4.8–5.7
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)FL median (p10–p90)
Poverty rate11.4%10.6% (3.1–25.8%) n=32,36411.4% (5.3–23.2%) n=972
Uninsured 18–6420.1%9.0% (1.5–24.3%) n=32,28615.9% (7.1–27.2%) n=968
No HS diploma (25+)8.5%7.9% (1.8–20.7%) n=32,5058.7% (2.9–20.6%) n=977
Bachelor's or higher (25+)21.6%23.3% (9.2–53.6%) n=32,50529.1% (12.7–56.0%) n=977
Unemployment rate (16+)6.5%3.9% (0.0–9.8%) n=32,2744.4% (1.8–7.7%) n=968
Households without a vehicle1.4%3.9% (0.0–12.5%) n=32,3224.3% (1.2–11.0%) n=972
Broadband subscription93.7%89.3% (75.1–97.1%) n=32,32291.9% (83.2–96.9%) n=972
Housing cost burden (≥30% income)23.3%23.7% (10.6–40.0%) n=32,32233.2% (20.1–47.6%) n=972
Homeownership rate92.3%78.7% (51.7–94.0%) n=32,32274.9% (47.3–90.5%) n=972
Crowded housing (>1 per room)2.8%1.3% (0.0–6.3%) n=32,3222.2% (0.2–6.7%) n=972
Foreign-born population1.6%2.6% (0.0–18.6%) n=32,55311.5% (2.3–39.9%) n=977
Single-parent households59.0%53.6% (37.3–74.1%) n=32,08752.8% (38.7–75.3%) n=968
Population 65+26.4%19.4% (10.8–33.6%) n=32,55320.4% (11.9–40.6%) n=977
Median age51.8 yr42.2 yr (33.0–56.3) n=32,29243.0 yr (35.1–59.8) n=972
Median household income$75,364$72,070 ($46,039–$118,707) n=30,318$72,857 ($48,246–$112,420) n=946
Median home value$271,300$222,200 ($100,300–$579,820) n=30,049$334,600 ($168,120–$631,410) n=932
Median gross rent$1,262$1,021 ($677–$1,912) n=25,670$1,604 ($968–$2,218) n=901
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)FL median (p10–p90)
Life expectancy at birth76.2 yr ± 0.6278.9 yr (74.7–82.8) n=31,30878.2 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 0.62 years of 76.2, and it’s very unlikely to be off by more than twice that.

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