ZIP code
39564
in Ocean Springs, MississippiPopulation 43,240
57.23/ 100
Ranked #7,040 of 32,066 US ZIPs (top 22%)
Ranked #10 of 406 Mississippi ZIPs (top 2.5%)
Ranked #3 of 26 Gulfport-Biloxi, MS ZIPs (top 11.6%)
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.
Outer-floodplain exposure
22.5%
in the top 1.8% nationally
Lower is healthier
ST95thUS98thDefinition & 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 4.3% nationally
Lower is healthier
ST97thUS96thDefinition & 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 ›Natural-disaster risk
in the top 4.3% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Floodplain exposure
40.1%
in the top 6.2% nationally
Lower is healthier
ST83rdUS94thDefinition & 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 ›Physician access
2 per 1,000 residents
in the top 7.1% nationally
Higher is healthier
ST97thUS93rdDefinition & source ›
The number of physicians’ offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Subsidized affordable housing
294 units
in the top 8.4% nationally
Higher is healthier
ST93rdUS92ndDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Radon
0.7 pCi/L
in the bottom 5.1% nationally
Lower is healthier
ST13thUS5thDefinition & 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 ›Dental provider access
0.68 per 1,000 residents
in the top 14.7% nationally
Higher is healthier
ST92ndUS85thDefinition & source ›
The number of dental offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Energy-cost burden
2.2%
in the bottom 17% nationally
Lower is healthier
ST3rdUS17thDefinition & 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 ›Independent-living disability
6.8%
in the bottom 18% nationally
Lower is healthier
ST1stUS18thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›The read
On balance, and by the composite measure, Ocean Springs, Mississippi (ZIP 39564) ranks in the top 22% healthiest ZIPs nationally (7,040th) and the top 2.5% of Mississippi (10th).
The measures split the difference for this area: physicians stands in the top 7.1% nationally, and subsidized affordable housing settles in the top 8.4% nationally. Distance to a community health center lies at the national minimum, shared with about 23% of ZIPs. Modeled radon resides in the bottom 5.1% nationally. Distance to a nursing home lands at the national minimum, shared with about 27% of ZIPs. Outpatient registers in the top 14.3% nationally. Against that, outer-floodplain exposure sits in the top 1.8% nationally, modeled expected annual loss rests in the top 4.3% nationally, and modeled disaster risk is in the top 4.3% nationally. Floodplain exposure stands in the top 6.2% nationally.
Compared with the ZIPs it borders, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. In plainer terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. For a healthier nearby ZIP overall, look to ZIP 39534, about 2.6 miles away.
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 Gulfport-Biloxi, MS 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 70%
21%
Social Need / SDOH
healthier than 81%
16%
Environmental Hazard
healthier than 84%
14%
Risk Behavior
healthier than 68%
11%
Mental Health
healthier than 84%
8%
Disability
healthier than 73%
7%
Healthcare Access
healthier than 87%
5%
Holding it back
Preventive Care
healthier than 37%
13%
Climate / Disaster Risk
healthier than 19%
5%
Lifting this score
Chronic Disease Burden
healthier than 94%
21%
Social Need / SDOH
healthier than 98%
16%
Preventive Care
healthier than 90%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 97%
7%
Healthcare Access
healthier than 83%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Climate / Disaster Risk
healthier than 44%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Social Need / SDOH
healthier than 88%
16%
Environmental Hazard
healthier than 68%
14%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 96%
11%
Mental Health
healthier than 96%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 64%
5%
Healthcare Access
healthier than 76%
5%
Nothing measured is holding this score back.
“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 76.3 ± 0.8 years. A median household income of $78,596 predicts 79.1 years — 2.8 years below.
Ranked #3,901 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
39532
Mississippishares a border
Score 49.71
Closest healthier
39534
Mississippiabout 2.6 mi away
Score 65.01
Similar health profile
32730
Florida99% similar profile
Score 58.58
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 | 27.2% | 24.2–30.3 |
| High blood pressure among adults | 40.6% | 36.7–44.6 |
| Cancer (non-skin) or melanoma among adults | 8.6% | 7.8–9.5 |
| Current asthma among adults | 9.0% | 7.9–10.1 |
| Coronary heart disease among adults | 5.9% | 5.3–6.5 |
| Chronic obstructive pulmonary disease among adults | 6.0% | 5.3–6.7 |
| Depression among adults | 19.5% | 16.6–22.6 |
| Diagnosed diabetes among adults | 12.1% | 10.6–13.8 |
| High cholesterol among adults who have ever been screened | 37.8% | 33.7–41.9 |
| Obesity among adults | 36.5% | 30.6–42.7 |
| Stroke among adults | 3.2% | 2.9–3.4 |
| All teeth lost among adults aged >=65 years | 9.8% | 7.7–11.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.2% | 7.0–9.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.4% | 75.7–81.0 |
| Visits to doctor for routine checkup within the past year among adults | 81.1% | 77.9–84.0 |
| Cholesterol screening among adults | 88.6% | 87.0–90.1 |
| Colorectal cancer screening among adults aged 45–75 years | 66.5% | 61.4–70.8 |
| Visited dentist or dental clinic in the past year among adults | 13.7% | 11.7–15.9 |
| Mammography use among women aged 50-74 years | 76.2% | 68.5–82.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.5% | 13.7–19.6 |
| Current cigarette smoking among adults | 12.0% | 10.4–13.8 |
| No leisure-time physical activity among adults | 24.4% | 20.9–28.1 |
| Short sleep duration among adults | 34.7% | 29.2–40.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.4% | 14.4–18.6 |
| Frequent mental distress among adults | 15.0% | 13.3–16.8 |
| Frequent physical distress among adults | 11.8% | 10.4–13.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.4% | 11.9–15.0 |
| Any disability among adults | 30.0% | 26.4–33.7 |
| Hearing disability among adults | 7.2% | 6.4–8.1 |
| Independent living disability among adults | 6.8% | 6.2–7.7 |
| Mobility disability among adults | 13.4% | 11.7–15.2 |
| Self-care disability among adults | 3.2% | 2.9–3.5 |
| Vision disability among adults | 4.2% | 3.9–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.9% | 20.8–27.2 |
| Food insecurity in the past 12 months among adults | 11.7% | 10.1–13.4 |
| Received food stamps in the past 12 months among adults | 5.4% | 4.6–6.3 |
| Housing insecurity in the past 12 months among adults | 9.9% | 8.6–11.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 6.1–7.7 |
| Loneliness among adults | 33.3% | 29.0–37.9 |
| Utility services shut-off threat in the past 12 months among adults | 6.0% | 5.2–6.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.3% | 10.6% (3.1–25.8%) n=32,364 | 19.9% (8.3–37.0%) n=406 |
| Uninsured 18–64 | 12.4% | 9.0% (1.5–24.3%) n=32,286 | 16.8% (8.1–29.3%) n=410 |
| No HS diploma (25+) | 4.8% | 7.9% (1.8–20.7%) n=32,505 | 14.4% (5.9–25.0%) n=411 |
| Bachelor's or higher (25+) | 41.0% | 23.3% (9.2–53.6%) n=32,505 | 18.0% (7.1–33.6%) n=411 |
| Unemployment rate (16+) | 5.9% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–14.2%) n=411 |
| Households without a vehicle | 2.8% | 3.9% (0.0–12.5%) n=32,322 | 5.5% (0.0–13.9%) n=405 |
| Broadband subscription | 94.0% | 89.3% (75.1–97.1%) n=32,322 | 79.7% (62.7–93.0%) n=405 |
| Housing cost burden (≥30% income) | 25.7% | 23.7% (10.6–40.0%) n=32,322 | 22.7% (9.7–36.0%) n=405 |
| Homeownership rate | 72.2% | 78.7% (51.7–94.0%) n=32,322 | 77.2% (49.8–91.7%) n=405 |
| Crowded housing (>1 per room) | 1.9% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–5.0%) n=405 |
| Foreign-born population | 4.3% | 2.6% (0.0–18.6%) n=32,553 | 0.6% (0.0–4.4%) n=412 |
| Single-parent households | 45.9% | 53.6% (37.3–74.1%) n=32,087 | 46.9% (29.2–61.4%) n=404 |
| Population 65+ | 17.6% | 19.4% (10.8–33.6%) n=32,553 | 17.8% (11.7–26.2%) n=412 |
| Median age | 39.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.5 yr (30.5–49.6) n=411 |
| Median household income | $78,596 | $72,070 ($46,039–$118,707) n=30,318 | $50,353 ($32,100–$72,379) n=377 |
| Median home value | $235,600 | $222,200 ($100,300–$579,820) n=30,049 | $118,100 ($72,660–$219,420) n=374 |
| Median gross rent | $1,370 | $1,021 ($677–$1,912) n=25,670 | $827 ($532–$1,130) n=319 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | MS median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 76.3 yr ± 0.40 | 78.9 yr (74.7–82.8) n=31,308 | 75.4 yr (72.7–79.0) n=405 |
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 0.40 years of 76.3, 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