ZIP code
39366
in Vossburg, MississippiPopulation 882
33.52/ 100
Ranked #29,895 of 32,066 US ZIPs (bottom 6.8%)
Ranked #324 of 406 Mississippi ZIPs (bottom 20%)
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.
Self-care disability
8.4%
in the top 2.1% nationally
Lower is healthier
ST81stUS98thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Diabetes
21.9%
in the top 1.8% nationally
Lower is healthier
ST84thUS98thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›High blood pressure
53.8%
in the top 1.1% nationally
Lower is healthier
ST83rdUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Stroke
6.5%
in the top 2.3% nationally
Lower is healthier
ST81stUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Vision disability
10.7%
in the top 3.5% nationally
Lower is healthier
ST80thUS97thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Unemployment rate
26.4%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Mobility disability
25.5%
in the top 2.9% nationally
Lower is healthier
ST78thUS97thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Obesity
48.4%
in the top 1.3% nationally
Lower is healthier
ST84thUS99thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Binge drinking
10.4%
in the bottom 1.9% nationally
Lower is healthier
ST15thUS2ndDefinition & 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 ›Fair or poor health
32.9%
in the top 4.4% nationally
Lower is healthier
ST81stUS96thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Cross-source signals
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.
These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.
Health need documented here
- People living in poverty
- Food insecurity
- Housing insecurity
- Adults reporting fair or poor health
- Chronic conditions
Barriers to reaching care
- Distance to the nearest emergency room
- Thin local supply of doctors
- Thin local supply of pharmacies
A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.
See the full care-deserts analysis →The read
Vossburg, Mississippi (ZIP 39366) ranks in the bottom 6.8% nationally (29,895th) and the bottom 20% of Mississippi (324th).
Several signals ground this area in the numbers: modeled self-care disability stands in the top 2.1% nationally, and diabetes sits in the top 1.8% nationally. Modeled high blood pressure resides in the top 1.1% nationally, and stroke stands in the top 2.3% nationally. Modeled vision disability sits in the top 3.5% nationally, unemployment resides in the top 1.2% nationally, and modeled mobility disability stands in the top 2.9% nationally. Modeled obesity sits in the top 1.3% nationally, and fair or poor health resides in the top 4.4% nationally. On the encouraging side, modeled binge drinking stands in the bottom 1.9% nationally.
The closest ZIP that ranks healthier overall is ZIP 39347, just across the boundary. The area also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.
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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 75%
14%
Mental Health
healthier than 64%
8%
Holding it back
Chronic Disease Burden
healthier than 6%
21%
Social Need / SDOH
healthier than 1%
16%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 6%
11%
Disability
healthier than 4%
7%
Climate / Disaster Risk
healthier than 31%
5%
Healthcare Access
healthier than 34%
5%
Lifting this score
Preventive Care
healthier than 71%
13%
Climate / Disaster Risk
healthier than 88%
5%
About typical
Environmental Hazard
healthier than 42%
14%
Mental Health
healthier than 52%
8%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Social Need / SDOH
healthier than 8%
16%
Risk Behavior
healthier than 18%
11%
Disability
healthier than 23%
7%
Healthcare Access
healthier than 26%
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.
Nearby
39347
Mississippishares a border
Score 35.81
Closest healthier
39348
Mississippishares a border
Score 37.32
Similar health profile
29923
South Carolina99% similar profile
Score 36.45
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 | 33.5% | 30.6–36.4 |
| High blood pressure among adults | 53.8% | 50.4–57.2 |
| Cancer (non-skin) or melanoma among adults | 6.2% | 5.6–6.7 |
| Current asthma among adults | 11.1% | 10.0–12.3 |
| Coronary heart disease among adults | 9.2% | 8.4–10.0 |
| Chronic obstructive pulmonary disease among adults | 10.9% | 9.7–12.1 |
| Depression among adults | 18.0% | 15.6–20.5 |
| Diagnosed diabetes among adults | 21.9% | 19.8–24.0 |
| High cholesterol among adults who have ever been screened | 39.4% | 35.9–43.0 |
| Obesity among adults | 48.4% | 42.0–54.5 |
| Stroke among adults | 6.5% | 6.0–7.0 |
| All teeth lost among adults aged >=65 years | 27.0% | 23.5–30.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.7% | 11.4–16.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.1% | 80.2–84.0 |
| Visits to doctor for routine checkup within the past year among adults | 84.0% | 81.7–86.2 |
| Cholesterol screening among adults | 86.1% | 84.3–87.8 |
| Colorectal cancer screening among adults aged 45–75 years | 63.4% | 59.0–67.4 |
| Visited dentist or dental clinic in the past year among adults | 6.8% | 5.8–7.8 |
| Mammography use among women aged 50-74 years | 74.5% | 68.3–79.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 10.4% | 8.8–12.1 |
| Current cigarette smoking among adults | 22.1% | 19.3–24.9 |
| No leisure-time physical activity among adults | 43.3% | 38.7–47.7 |
| Short sleep duration among adults | 43.0% | 37.5–48.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 32.9% | 29.7–36.2 |
| Frequent mental distress among adults | 18.9% | 17.1–20.9 |
| Frequent physical distress among adults | 17.7% | 15.9–19.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.5% | 18.3–22.7 |
| Any disability among adults | 44.3% | 40.3–48.2 |
| Hearing disability among adults | 8.1% | 7.3–8.9 |
| Independent living disability among adults | 13.8% | 12.4–15.2 |
| Mobility disability among adults | 25.5% | 23.0–28.0 |
| Self-care disability among adults | 8.4% | 7.6–9.2 |
| Vision disability among adults | 10.7% | 9.7–11.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 34.5% | 30.9–38.3 |
| Food insecurity in the past 12 months among adults | 36.4% | 32.4–40.7 |
| Received food stamps in the past 12 months among adults | 26.5% | 22.9–30.4 |
| Housing insecurity in the past 12 months among adults | 26.4% | 23.5–29.6 |
| Lack of reliable transportation in the past 12 months among adults | 18.4% | 16.4–20.5 |
| Loneliness among adults | 38.7% | 34.6–43.0 |
| Utility services shut-off threat in the past 12 months among adults | 19.4% | 17.3–21.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 34.6% | 10.6% (3.1–25.8%) n=32,364 | 19.9% (8.3–37.0%) n=406 |
| Uninsured 18–64 | 20.9% | 9.0% (1.5–24.3%) n=32,286 | 16.8% (8.1–29.3%) n=410 |
| No HS diploma (25+) | 22.6% | 7.9% (1.8–20.7%) n=32,505 | 14.4% (5.9–25.0%) n=411 |
| Bachelor's or higher (25+) | 4.2% | 23.3% (9.2–53.6%) n=32,505 | 18.0% (7.1–33.6%) n=411 |
| Unemployment rate (16+) | 26.4% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–14.2%) n=411 |
| Households without a vehicle | 10.3% | 3.9% (0.0–12.5%) n=32,322 | 5.5% (0.0–13.9%) n=405 |
| Broadband subscription | 57.5% | 89.3% (75.1–97.1%) n=32,322 | 79.7% (62.7–93.0%) n=405 |
| Housing cost burden (≥30% income) | 14.5% | 23.7% (10.6–40.0%) n=32,322 | 22.7% (9.7–36.0%) n=405 |
| Homeownership rate | 94.3% | 78.7% (51.7–94.0%) n=32,322 | 77.2% (49.8–91.7%) n=405 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–5.0%) n=405 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.6% (0.0–4.4%) n=412 |
| Single-parent households | 64.8% | 53.6% (37.3–74.1%) n=32,087 | 46.9% (29.2–61.4%) n=404 |
| Population 65+ | 51.2% | 19.4% (10.8–33.6%) n=32,553 | 17.8% (11.7–26.2%) n=412 |
| Median age | 66.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.5 yr (30.5–49.6) n=411 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $50,353 ($32,100–$72,379) n=377 |
| Median home value | $87,100 | $222,200 ($100,300–$579,820) n=30,049 | $118,100 ($72,660–$219,420) n=374 |
| Median gross rent | — | $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 | 75.9 yr ± 1.00 | 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 1.00 years of 75.9, 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