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ZipVitals

ZIP code

39581

in Pascagoula, MississippiPopulation 11,390

36.26/ 100

Ranked #28,878 of 32,066 US ZIPs (bottom 10.0%)

Ranked #285 of 406 Mississippi ZIPs (bottom 30%)

Ranked #24 of 26 Gulfport-Biloxi, MS ZIPs (bottom 7.7%)

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.

Industrial-pollution burden

in the top 0.2% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.

Full methodology ›

Floodplain exposure

88.2%

in the top 0.7% nationally

Lower is healthier

ST98th
US99th
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 ›

Obesity

46.9%

in the top 2.2% nationally

Lower is healthier

ST79th
US98th
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Outer-floodplain exposure

8.3%

in the top 4.5% nationally

Lower is healthier

ST92nd
US96th
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 ›

Physician access

2.5 per 1,000 residents

in the top 4.8% nationally

Higher is healthier

ST98th
US95th
Definition & 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 ›

Lack of transportation

16.2%

in the top 4.8% nationally

Lower is healthier

ST73rd
US95th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

Housing insecurity

23.9%

in the top 4.9% nationally

Lower is healthier

ST78th
US95th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Housing-cost burden

46%

in the top 4.9% nationally

Lower is healthier

ST98th
US95th
Definition & source ›

The share of households spending 30% or more of their income on housing.

Full methodology ›

Food insecurity

31.5%

in the top 5.1% nationally

Lower is healthier

ST73rd
US95th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Homeownership rate

40.8%

in the bottom 5.5% nationally

Higher is healthier

ST4th
US5th
Definition & 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.

The read

ZIP 39581, one of several in Pascagoula, Mississippi, on the composite measure, lands in the bottom 10.0% nationally (28,878th) and the bottom 30% of Mississippi (285th).

continue reading

Where this area is stretched, the data is unambiguous: modeled industrial-pollution burden registers in the top 0.2% nationally, floodplain exposure lands in the top 0.7% nationally, and modeled obesity resides in the top 2.2% nationally. Outer-floodplain exposure lies in the top 4.5% nationally, modeled transportation settles in the top 4.8% nationally, and modeled housing insecurity stands in the top 4.9% nationally. Housing-cost burden is in the top 4.9% nationally, and modeled food insecurity rests in the top 5.1% nationally. Better still, physicians sits in the top 4.8% nationally. Distance to an emergency room registers at the national minimum, shared with about 11% of ZIPs.

Set against the neighboring ZIPs, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. In everyday language, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". A healthier neighbor overall sits at ZIP 39562, 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 Gulfport-Biloxi, MS metro area.

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

Compare within

Lifting this score

Healthcare Access

healthier than 83%

5%

About typical

Mental Health

healthier than 54%

8%

Holding it back

Chronic Disease Burden

healthier than 26%

21%

Social Need / SDOH

healthier than 10%

16%

Environmental Hazard

healthier than 12%

14%

Preventive Care

healthier than 11%

13%

Risk Behavior

healthier than 9%

11%

Disability

healthier than 11%

7%

Climate / Disaster Risk

healthier than 2%

5%

Lifting this score

Chronic Disease Burden

healthier than 66%

21%

Healthcare Access

healthier than 80%

5%

About typical

Disability

healthier than 47%

7%

Holding it back

Social Need / SDOH

healthier than 39%

16%

Environmental Hazard

healthier than 1%

14%

Preventive Care

healthier than 11%

13%

Risk Behavior

healthier than 23%

11%

Mental Health

healthier than 31%

8%

Climate / Disaster Risk

healthier than 8%

5%

Lifting this score

Healthcare Access

healthier than 68%

5%

Holding it back

Chronic Disease Burden

healthier than 28%

21%

Social Need / SDOH

healthier than 8%

16%

Environmental Hazard

in the bottom 0.00%

14%

Preventive Care

healthier than 12%

13%

Risk Behavior

healthier than 8%

11%

Mental Health

healthier than 20%

8%

Disability

healthier than 12%

7%

Climate / Disaster Risk

healthier than 4%

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.

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 adults28.4%25.4–31.5
High blood pressure among adults47.7%43.7–51.8
Cancer (non-skin) or melanoma among adults6.4%5.7–7.0
Current asthma among adults10.4%9.2–11.7
Coronary heart disease among adults7.2%6.5–8.0
Chronic obstructive pulmonary disease among adults8.8%7.8–9.8
Depression among adults19.5%16.6–22.6
Diagnosed diabetes among adults17.9%15.9–20.1
High cholesterol among adults who have ever been screened37.0%33.1–41.0
Obesity among adults46.9%40.5–53.2
Stroke among adults4.6%4.3–5.0
All teeth lost among adults aged >=65 years21.4%17.6–24.9
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years16.9%14.6–19.2
Taking medicine to control high blood pressure among adults with high blood pressure77.6%74.9–80.2
Visits to doctor for routine checkup within the past year among adults81.2%77.9–84.1
Cholesterol screening among adults84.2%82.0–86.2
Colorectal cancer screening among adults aged 45–75 years59.5%54.0–64.2
Visited dentist or dental clinic in the past year among adults7.8%6.5–9.0
Mammography use among women aged 50-74 years73.7%65.6–80.0
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults13.5%11.1–16.1
Current cigarette smoking among adults18.8%16.5–21.4
No leisure-time physical activity among adults38.0%33.5–42.7
Short sleep duration among adults42.5%36.3–48.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults28.4%25.5–31.6
Frequent mental distress among adults18.9%16.8–21.0
Frequent physical distress among adults15.8%14.2–17.7
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults19.9%17.8–22.2
Any disability among adults40.8%36.7–45.1
Hearing disability among adults7.7%6.8–8.6
Independent living disability among adults11.9%10.7–13.3
Mobility disability among adults20.7%18.5–23.0
Self-care disability among adults6.4%5.9–7.0
Vision disability among adults9.0%8.3–9.9
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults30.8%27.0–34.6
Food insecurity in the past 12 months among adults31.5%28.0–35.0
Received food stamps in the past 12 months among adults20.8%18.1–23.5
Housing insecurity in the past 12 months among adults23.9%21.2–26.6
Lack of reliable transportation in the past 12 months among adults16.2%14.4–18.0
Loneliness among adults38.3%33.6–43.1
Utility services shut-off threat in the past 12 months among adults16.0%14.1–18.0
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MS median (p10–p90)
Poverty rate32.1%10.6% (3.1–25.8%) n=32,36419.9% (8.3–37.0%) n=406
Uninsured 18–6420.3%9.0% (1.5–24.3%) n=32,28616.8% (8.1–29.3%) n=410
No HS diploma (25+)13.8%7.9% (1.8–20.7%) n=32,50514.4% (5.9–25.0%) n=411
Bachelor's or higher (25+)22.5%23.3% (9.2–53.6%) n=32,50518.0% (7.1–33.6%) n=411
Unemployment rate (16+)9.7%3.9% (0.0–9.8%) n=32,2744.8% (0.0–14.2%) n=411
Households without a vehicle4.2%3.9% (0.0–12.5%) n=32,3225.5% (0.0–13.9%) n=405
Broadband subscription86.6%89.3% (75.1–97.1%) n=32,32279.7% (62.7–93.0%) n=405
Housing cost burden (≥30% income)46.0%23.7% (10.6–40.0%) n=32,32222.7% (9.7–36.0%) n=405
Homeownership rate40.8%78.7% (51.7–94.0%) n=32,32277.2% (49.8–91.7%) n=405
Crowded housing (>1 per room)3.7%1.3% (0.0–6.3%) n=32,3221.4% (0.0–5.0%) n=405
Foreign-born population6.6%2.6% (0.0–18.6%) n=32,5530.6% (0.0–4.4%) n=412
Single-parent households43.8%53.6% (37.3–74.1%) n=32,08746.9% (29.2–61.4%) n=404
Population 65+14.2%19.4% (10.8–33.6%) n=32,55317.8% (11.7–26.2%) n=412
Median age33.6 yr42.2 yr (33.0–56.3) n=32,29239.5 yr (30.5–49.6) n=411
Median household income$37,927$72,070 ($46,039–$118,707) n=30,318$50,353 ($32,100–$72,379) n=377
Median home value$153,100$222,200 ($100,300–$579,820) n=30,049$118,100 ($72,660–$219,420) n=374
Median gross rent$894$1,021 ($677–$1,912) n=25,670$827 ($532–$1,130) n=319
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)MS median (p10–p90)
Life expectancy unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled.
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