ZIP code
32583
in Milton, FloridaPopulation 31,828
51.19/ 100
Ranked #14,554 of 32,066 US ZIPs (top 45%)
Ranked #533 of 974 Florida ZIPs (bottom 45%)
Ranked #13 of 25 Pensacola-Ferry Pass-Brent, FL ZIPs (bottom 48%)
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
147.5 days/year
in the top 5.4% nationally
Lower is healthier
ST4thUS95thDefinition & 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 ›Outer-floodplain exposure
6.4%
in the top 6.0% nationally
Lower is healthier
ST90thUS94thDefinition & 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 ›Expected annual disaster loss
$0
in the top 8.3% nationally
Lower is healthier
ST95thUS92ndDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Short sleep
42.2%
in the top 8.6% nationally
Lower is healthier
ST88thUS91stDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Arsenic in groundwater
1.4%
in the bottom 9.9% nationally
Lower is healthier
ST51stUS10thDefinition & 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 ›Housing-cost burden
14.9%
in the bottom 18% nationally
Lower is healthier
ST5thUS18thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Binge drinking
17.5%
in the top 24% nationally
Lower is healthier
ST93rdUS76thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›The read
By the composite health measure, ZIP 32583, one of several in Milton, Florida ranks in the top 45% healthiest ZIPs nationally (14,554th) and the bottom 45% of Florida (533rd).
The measures that set this area apart are worth putting up front: modeled arsenic is in the bottom 9.9% nationally, and radon settles in the bottom 16% nationally. Set against that, modeled humid heat resides in the top 5.4% nationally, and outer-floodplain exposure registers in the top 6.0% nationally. Modeled expected annual loss rests in the top 8.3% nationally, short sleep stands in the top 8.6% nationally, and pfas lies in the top 12.7% nationally. Modeled disaster risk lands in the top 13.3% nationally, and floodplain exposure sits in the top 13.9% nationally. Distance to a hazardous-chemical facility is at the national minimum, shared with about 31% of ZIPs.
Read against the ZIPs closest to it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. To spell things out, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. 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. Close by, ZIP 32530, just across the boundary, ranks healthier overall.
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 Pensacola-Ferry Pass-Brent, FL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 69%
21%
Environmental Hazard
healthier than 73%
14%
Mental Health
healthier than 67%
8%
Healthcare Access
healthier than 78%
5%
About typical
Social Need / SDOH
healthier than 58%
16%
Disability
healthier than 58%
7%
Holding it back
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 23%
11%
Climate / Disaster Risk
healthier than 17%
5%
Lifting this score
Chronic Disease Burden
healthier than 67%
21%
Disability
healthier than 65%
7%
Climate / Disaster Risk
healthier than 72%
5%
Healthcare Access
healthier than 64%
5%
About typical
Environmental Hazard
healthier than 56%
14%
Holding it back
Social Need / SDOH
healthier than 34%
16%
Preventive Care
healthier than 29%
13%
Risk Behavior
healthier than 20%
11%
Mental Health
healthier than 32%
8%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Social Need / SDOH
healthier than 70%
16%
Mental Health
healthier than 78%
8%
About typical
Environmental Hazard
healthier than 57%
14%
Disability
healthier than 57%
7%
Healthcare Access
healthier than 57%
5%
Holding it back
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 13%
11%
Climate / Disaster Risk
healthier than 30%
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 what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 76.0 ± 1.9 years. A median household income of $85,440 predicts 79.5 years — 3.5 years below.
Ranked #4,646 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
32530
Floridashares a border
Score 56.07
Closest healthier
32571
Floridashares a border
Score 55.30
Similar health profile
08311
New Jersey96% similar profile
Score 51.39
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 | 25.9% | 23.3–28.7 |
| High blood pressure among adults | 36.9% | 33.4–40.5 |
| Cancer (non-skin) or melanoma among adults | 8.5% | 7.8–9.2 |
| Current asthma among adults | 9.6% | 8.6–10.7 |
| Coronary heart disease among adults | 6.7% | 6.0–7.4 |
| Chronic obstructive pulmonary disease among adults | 7.4% | 6.7–8.3 |
| Depression among adults | 18.6% | 16.1–21.5 |
| Diagnosed diabetes among adults | 11.5% | 10.1–13.1 |
| High cholesterol among adults who have ever been screened | 36.7% | 33.2–40.3 |
| Obesity among adults | 34.2% | 28.9–39.9 |
| Stroke among adults | 3.4% | 3.1–3.7 |
| All teeth lost among adults aged >=65 years | 11.9% | 9.8–14.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 14.3% | 12.3–16.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.9% | 71.1–76.7 |
| Visits to doctor for routine checkup within the past year among adults | 77.3% | 74.1–80.2 |
| Cholesterol screening among adults | 84.1% | 82.3–85.9 |
| Colorectal cancer screening among adults aged 45–75 years | 66.1% | 61.6–70.3 |
| Visited dentist or dental clinic in the past year among adults | 55.7% | 52.4–58.9 |
| Mammography use among women aged 50-74 years | 71.0% | 63.6–77.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.5% | 14.8–20.4 |
| Current cigarette smoking among adults | 16.1% | 14.0–18.5 |
| No leisure-time physical activity among adults | 22.8% | 19.5–26.5 |
| Short sleep duration among adults | 42.2% | 37.0–47.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.9% | 17.6–22.5 |
| Frequent mental distress among adults | 18.1% | 16.3–20.2 |
| Frequent physical distress among adults | 14.4% | 12.9–16.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.4% | 13.8–17.2 |
| Any disability among adults | 31.8% | 28.3–35.7 |
| Hearing disability among adults | 6.9% | 6.2–7.7 |
| Independent living disability among adults | 8.1% | 7.3–9.0 |
| Mobility disability among adults | 13.5% | 11.9–15.3 |
| Self-care disability among adults | 3.8% | 3.5–4.2 |
| Vision disability among adults | 5.1% | 4.7–5.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.8% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 21.4% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 12.4% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 21.9% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 4.1% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 1.9% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (1.2–11.0%) n=972 |
| Broadband subscription | 89.4% | 89.3% (75.1–97.1%) n=32,322 | 91.9% (83.2–96.9%) n=972 |
| Housing cost burden (≥30% income) | 14.9% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 87.1% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 1.6% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 3.3% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 48.3% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 14.8% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 40.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $85,440 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $245,400 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,212 | $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 | 76.0 yr ± 0.95 | 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 0.95 years of 76.0, 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