ZIP code
39756
in Prairie, MississippiPopulation 2,140
39.87/ 100
Ranked #26,849 of 32,066 US ZIPs (bottom 16%)
Ranked #230 of 406 Mississippi ZIPs (bottom 43%)
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.
High blood pressure
52.7%
in the top 1.6% nationally
Lower is healthier
ST78thUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Obesity
48.9%
in the top 1.1% nationally
Lower is healthier
ST86thUS99thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Arsenic in groundwater
1.00%
in the bottom 2.1% nationally
Lower is healthier
ST6thUS2ndDefinition & 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 ›Diabetes
20.2%
in the top 3.5% nationally
Lower is healthier
ST74thUS97thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Short sleep
44.9%
in the top 3.2% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Fatal road crashes
56.1 per 100,000 residents per year
in the top 2.8% nationally
Lower is healthier
ST94thUS97thDefinition & 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 ›Binge drinking
10.8%
in the bottom 2.6% nationally
Lower is healthier
ST20thUS3rdDefinition & 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 ›Self-care disability
6.9%
in the top 6.3% nationally
Lower is healthier
ST64thUS94thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Housing insecurity
23.4%
in the top 5.3% nationally
Lower is healthier
ST75thUS95thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Food insecurity
31.1%
in the top 5.4% nationally
Lower is healthier
ST71stUS95thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
By its overall health score, Prairie, Mississippi (ZIP 39756) lands in the bottom 16% nationally (26,849th) and the bottom 43% of Mississippi (230th).
The burdens that read clearest in the data come first: modeled high blood pressure lies in the top 1.6% nationally, and obesity resides in the top 1.1% nationally. Modeled diabetes lands in the top 3.5% nationally, and short sleep registers in the top 3.2% nationally. Fatal road crashes sits in the top 2.8% nationally, modeled self-care disability rests in the top 6.3% nationally, and modeled housing insecurity is in the top 5.3% nationally. Modeled food insecurity stands in the top 5.4% nationally. Better still, modeled arsenic settles in the bottom 2.1% nationally, and binge drinking lies in the bottom 2.6% nationally.
To translate a couple of terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Overall, the nearest healthier neighbor is ZIP 39776, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 83%
14%
Mental Health
healthier than 85%
8%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 4%
16%
Preventive Care
healthier than 33%
13%
Risk Behavior
healthier than 10%
11%
Disability
healthier than 13%
7%
Climate / Disaster Risk
healthier than 14%
5%
Healthcare Access
healthier than 27%
5%
Lifting this score
Preventive Care
healthier than 85%
13%
Mental Health
healthier than 93%
8%
About typical
Chronic Disease Burden
healthier than 40%
21%
Environmental Hazard
healthier than 58%
14%
Disability
healthier than 49%
7%
Holding it back
Social Need / SDOH
healthier than 25%
16%
Risk Behavior
healthier than 27%
11%
Climate / Disaster Risk
healthier than 30%
5%
Healthcare Access
healthier than 16%
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.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 82.9; chronic-disease standing 12.5 — 70 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,048 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
38851
Mississippishares a border
Score 38.99
Closest healthier
39776
Mississippishares a border
Score 46.35
Similar health profile
39669
Mississippi98% similar profile
Score 38.41
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 | 31.3% | 28.9–34.0 |
| High blood pressure among adults | 52.7% | 49.6–55.9 |
| Cancer (non-skin) or melanoma among adults | 6.0% | 5.5–6.5 |
| Current asthma among adults | 10.6% | 9.6–11.8 |
| Coronary heart disease among adults | 7.8% | 7.2–8.6 |
| Chronic obstructive pulmonary disease among adults | 8.9% | 7.9–10.1 |
| Depression among adults | 15.9% | 14.0–18.1 |
| Diagnosed diabetes among adults | 20.2% | 18.3–22.3 |
| High cholesterol among adults who have ever been screened | 39.6% | 36.6–42.7 |
| Obesity among adults | 48.9% | 43.7–54.3 |
| Stroke among adults | 5.7% | 5.3–6.3 |
| All teeth lost among adults aged >=65 years | 25.0% | 21.8–28.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.6% | 10.5–14.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.0% | 80.1–83.8 |
| Visits to doctor for routine checkup within the past year among adults | 84.3% | 82.0–86.4 |
| Cholesterol screening among adults | 87.3% | 85.6–89.0 |
| Colorectal cancer screening among adults aged 45–75 years | 61.3% | 57.2–65.0 |
| Visited dentist or dental clinic in the past year among adults | 7.4% | 6.5–8.4 |
| Mammography use among women aged 50-74 years | 78.0% | 72.7–82.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 10.8% | 9.2–12.4 |
| Current cigarette smoking among adults | 18.7% | 16.4–21.1 |
| No leisure-time physical activity among adults | 39.5% | 35.4–43.8 |
| Short sleep duration among adults | 44.9% | 39.9–49.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.1% | 26.2–32.3 |
| Frequent mental distress among adults | 17.3% | 15.7–19.1 |
| Frequent physical distress among adults | 15.8% | 14.3–17.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.2% | 16.3–20.2 |
| Any disability among adults | 40.9% | 37.2–44.9 |
| Hearing disability among adults | 6.8% | 6.2–7.6 |
| Independent living disability among adults | 11.6% | 10.4–13.0 |
| Mobility disability among adults | 22.6% | 20.5–25.0 |
| Self-care disability among adults | 6.9% | 6.2–7.7 |
| Vision disability among adults | 8.8% | 8.0–9.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 35.8% | 32.5–39.3 |
| Food insecurity in the past 12 months among adults | 31.1% | 27.5–34.8 |
| Received food stamps in the past 12 months among adults | 20.2% | 17.2–23.3 |
| Housing insecurity in the past 12 months among adults | 23.4% | 20.7–26.1 |
| Lack of reliable transportation in the past 12 months among adults | 15.6% | 13.9–17.3 |
| Loneliness among adults | 38.4% | 34.9–42.3 |
| Utility services shut-off threat in the past 12 months among adults | 16.1% | 14.3–18.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.9% | 10.6% (3.1–25.8%) n=32,364 | 19.9% (8.3–37.0%) n=406 |
| Uninsured 18–64 | 10.9% | 9.0% (1.5–24.3%) n=32,286 | 16.8% (8.1–29.3%) n=410 |
| No HS diploma (25+) | 17.6% | 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+) | 1.3% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–14.2%) n=411 |
| Households without a vehicle | 3.1% | 3.9% (0.0–12.5%) n=32,322 | 5.5% (0.0–13.9%) n=405 |
| Broadband subscription | 70.4% | 89.3% (75.1–97.1%) n=32,322 | 79.7% (62.7–93.0%) n=405 |
| Housing cost burden (≥30% income) | 21.2% | 23.7% (10.6–40.0%) n=32,322 | 22.7% (9.7–36.0%) n=405 |
| Homeownership rate | 97.4% | 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 | 0.2% | 2.6% (0.0–18.6%) n=32,553 | 0.6% (0.0–4.4%) n=412 |
| Single-parent households | 22.5% | 53.6% (37.3–74.1%) n=32,087 | 46.9% (29.2–61.4%) n=404 |
| Population 65+ | 10.4% | 19.4% (10.8–33.6%) n=32,553 | 17.8% (11.7–26.2%) n=412 |
| Median age | 39.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.5 yr (30.5–49.6) n=411 |
| Median household income | $57,782 | $72,070 ($46,039–$118,707) n=30,318 | $50,353 ($32,100–$72,379) n=377 |
| Median home value | $80,300 | $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 ± 1.29 | 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 1.29 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