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ZIP code

38860

in Okolona, MississippiPopulation 5,388

ZipVitals Score
How is the ZipVitals Score calculated? →

35.82/ 100

Ranked #29,072 of 32,066 US ZIPs (bottom 9.4%)

Ranked #290 of 406 Mississippi ZIPs (bottom 29%)

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.

Diabetes

21.1%

in the top 2.4% nationally

Lower is healthier

ST80th
US98th
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

High blood pressure

52.7%

in the top 1.6% nationally

Lower is healthier

ST78th
US98th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have high blood pressure.

Full methodology ›

Tooth loss

28.9%

in the top 3.8% nationally

Lower is healthier

ST83rd
US96th
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

Stroke

6.3%

in the top 2.8% nationally

Lower is healthier

ST77th
US97th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have had a stroke.

Full methodology ›

Self-care disability

7.6%

in the top 3.9% nationally

Lower is healthier

ST71st
US96th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Mobility disability

25.7%

in the top 2.7% nationally

Lower is healthier

ST80th
US97th
Definition & source ›

The estimated share of adults with serious difficulty walking or climbing stairs.

Full methodology ›

Binge drinking

10.5%

in the bottom 2.1% nationally

Lower is healthier

ST17th
US2nd
Definition & 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 ›

Vision disability

9.8%

in the top 5.3% nationally

Lower is healthier

ST72nd
US95th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Arsenic in groundwater

1.1%

in the bottom 3.6% nationally

Lower is healthier

ST15th
US4th
Definition & 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 ›

Fair or poor health

31.7%

in the top 5.7% nationally

Lower is healthier

ST75th
US94th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

The read

On the composite measure, Okolona, Mississippi (ZIP 38860) stands in the bottom 9.4% nationally (29,072nd) and the bottom 29% of Mississippi (290th).

continue reading

The weightiest signals in the profile are worth naming up front: modeled diabetes resides in the top 2.4% nationally, and high blood pressure stands in the top 1.6% nationally. Modeled tooth loss sits in the top 3.8% nationally, and stroke resides in the top 2.8% nationally. Modeled self-care disability stands in the top 3.9% nationally, mobility disability sits in the top 2.7% nationally, and vision disability resides in the top 5.3% nationally. Modeled fair or poor health stands in the top 5.7% nationally. More positively, modeled binge drinking sits in the bottom 2.1% nationally, and arsenic resides in the bottom 3.6% nationally.

For clarity, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. ZIP 38851, just across the boundary, ranks better overall among the ZIPs nearby.

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.

Compare within

Lifting this score

Environmental Hazard

healthier than 77%

14%

Mental Health

healthier than 73%

8%

Healthcare Access

healthier than 76%

5%

Holding it back

Chronic Disease Burden

healthier than 5%

21%

Social Need / SDOH

healthier than 4%

16%

Preventive Care

healthier than 25%

13%

Risk Behavior

healthier than 10%

11%

Disability

healthier than 5%

7%

Climate / Disaster Risk

healthier than 21%

5%

Lifting this score

Preventive Care

healthier than 68%

13%

Mental Health

healthier than 74%

8%

Healthcare Access

healthier than 73%

5%

About typical

Environmental Hazard

healthier than 45%

14%

Climate / Disaster Risk

healthier than 53%

5%

Holding it back

Chronic Disease Burden

healthier than 21%

21%

Social Need / SDOH

healthier than 24%

16%

Risk Behavior

healthier than 26%

11%

Disability

healthier than 29%

7%

“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 77.3; chronic-disease standing 5.2 (bottom 10%) — 72 points apart, cleaner on the environment than it is on chronic illness.

    Ranked #944 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.

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 adults34.6%31.5–37.6
High blood pressure among adults52.7%48.9–56.3
Cancer (non-skin) or melanoma among adults7.4%6.8–8.1
Current asthma among adults10.9%9.7–12.1
Coronary heart disease among adults9.2%8.4–10.1
Chronic obstructive pulmonary disease among adults10.9%9.9–12.1
Depression among adults17.7%15.2–20.4
Diagnosed diabetes among adults21.1%18.9–23.3
High cholesterol among adults who have ever been screened42.2%38.4–46.0
Obesity among adults46.2%39.4–53.0
Stroke among adults6.3%5.9–6.8
All teeth lost among adults aged >=65 years28.9%24.9–33.3
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years13.3%11.4–15.3
Taking medicine to control high blood pressure among adults with high blood pressure82.8%80.8–84.7
Visits to doctor for routine checkup within the past year among adults83.7%81.0–86.1
Cholesterol screening among adults87.0%85.3–88.6
Colorectal cancer screening among adults aged 45–75 years61.9%57.5–66.2
Visited dentist or dental clinic in the past year among adults6.5%5.6–7.6
Mammography use among women aged 50-74 years73.2%66.3–79.2
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults10.5%8.7–12.4
Current cigarette smoking among adults20.2%17.9–22.6
No leisure-time physical activity among adults41.9%37.2–46.5
Short sleep duration among adults42.5%36.7–48.4
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults31.7%28.7–34.7
Frequent mental distress among adults18.0%16.2–19.9
Frequent physical distress among adults17.5%15.7–19.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults19.6%17.6–21.5
Any disability among adults45.2%40.9–49.2
Hearing disability among adults8.8%7.9–9.7
Independent living disability among adults13.1%11.9–14.4
Mobility disability among adults25.7%23.3–28.2
Self-care disability among adults7.6%6.9–8.2
Vision disability among adults9.8%9.0–10.7
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults33.5%30.1–37.2
Food insecurity in the past 12 months among adults31.5%28.5–34.8
Received food stamps in the past 12 months among adults21.6%19.1–24.5
Housing insecurity in the past 12 months among adults23.0%20.7–25.5
Lack of reliable transportation in the past 12 months among adults15.9%14.4–17.6
Loneliness among adults38.2%34.0–42.5
Utility services shut-off threat in the past 12 months among adults16.0%14.4–17.8
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MS median (p10–p90)
Poverty rate26.1%10.6% (3.1–25.8%) n=32,36419.9% (8.3–37.0%) n=406
Uninsured 18–6420.8%9.0% (1.5–24.3%) n=32,28616.8% (8.1–29.3%) n=410
No HS diploma (25+)19.2%7.9% (1.8–20.7%) n=32,50514.4% (5.9–25.0%) n=411
Bachelor's or higher (25+)8.1%23.3% (9.2–53.6%) n=32,50518.0% (7.1–33.6%) n=411
Unemployment rate (16+)7.9%3.9% (0.0–9.8%) n=32,2744.8% (0.0–14.2%) n=411
Households without a vehicle10.8%3.9% (0.0–12.5%) n=32,3225.5% (0.0–13.9%) n=405
Broadband subscription78.8%89.3% (75.1–97.1%) n=32,32279.7% (62.7–93.0%) n=405
Housing cost burden (≥30% income)29.1%23.7% (10.6–40.0%) n=32,32222.7% (9.7–36.0%) n=405
Homeownership rate64.2%78.7% (51.7–94.0%) n=32,32277.2% (49.8–91.7%) n=405
Crowded housing (>1 per room)2.0%1.3% (0.0–6.3%) n=32,3221.4% (0.0–5.0%) n=405
Foreign-born population0.3%2.6% (0.0–18.6%) n=32,5530.6% (0.0–4.4%) n=412
Single-parent households37.0%53.6% (37.3–74.1%) n=32,08746.9% (29.2–61.4%) n=404
Population 65+17.4%19.4% (10.8–33.6%) n=32,55317.8% (11.7–26.2%) n=412
Median age35.9 yr42.2 yr (33.0–56.3) n=32,29239.5 yr (30.5–49.6) n=411
Median household income$41,293$72,070 ($46,039–$118,707) n=30,318$50,353 ($32,100–$72,379) n=377
Median home value$100,400$222,200 ($100,300–$579,820) n=30,049$118,100 ($72,660–$219,420) n=374
Median gross rent$605$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 at birth76.8 yr ± 0.9978.9 yr (74.7–82.8) n=31,30875.4 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 0.99 years of 76.8, and it’s very unlikely to be off by more than twice that.

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