ZIP code
39193
in Whitfield, MississippiPopulation 731
17.74/ 100
Ranked #31,965 of 32,066 US ZIPs (bottom 0.4%)
Ranked #406 of 406 Mississippi ZIPs (bottom 0.3%)
Ranked #59 of 59 Jackson, MS ZIPs (bottom 1.7%)
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
22.2%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Stroke
15.0%
in the top 0.01% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Vision disability
26.4%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Diabetes
40.7%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Tooth loss
66.8%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Independent-living disability
28.2%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & 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 ›Mobility disability
51.1%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Coronary heart disease
21.9%
in the top 0.03% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Fair or poor health
58.2%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›High blood pressure
71.8%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
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.
This area ranks among the highest 10% of US ZIP codes for both humid-heat days and flood exposure.
See the full flooding, evacuation & humid-heat analysis →
The read
In overall standing, Whitfield, Mississippi (ZIP 39193) comes out in the bottom 0.4% nationally (31,965th) and the bottom 0.3% of Mississippi (406th).
The profile opens on the burdens that define it most: modeled self-care disability stands at the national maximum, stroke lands in the top 0.01% nationally, and vision disability is at the national maximum. Modeled diabetes resides at the national maximum, tooth loss rests at the national maximum, and independent living disability lies at the national maximum. Modeled mobility disability sits at the national maximum, and fair or poor health settles at the national maximum. Modeled high blood pressure registers at the national maximum, and hearing disability stands in the top 0.06% nationally.
Relative to the ZIPs around it, self-care disability runs far higher than the surrounding ZIPs on this measure. The nearest healthier ZIP overall is ZIP 39208, 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 Jackson, MS metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 67%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Holding it back
Chronic Disease Burden
in the bottom 0.03%
21%
Social Need / SDOH
healthier than 10%
16%
Preventive Care
healthier than 6%
13%
Risk Behavior
in the bottom 0.8%
11%
Mental Health
healthier than 28%
8%
Disability
in the bottom 0.00%
7%
Climate / Disaster Risk
healthier than 3%
5%
Lifting this score
Healthcare Access
healthier than 62%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 40%
16%
Environmental Hazard
healthier than 24%
14%
Preventive Care
healthier than 3%
13%
Risk Behavior
in the bottom 0.6%
11%
Mental Health
healthier than 3%
8%
Disability
in the bottom 0.00%
7%
Climate / Disaster Risk
healthier than 10%
5%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 47%
14%
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 40%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 7%
8%
Disability
in the bottom 0.00%
7%
Climate / Disaster Risk
healthier than 9%
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
39208
Mississippishares a border
Score 42.39
Closest healthier
39042
Mississippiabout 0.5 mi away
Score 57.75
Similar health profile
32181
Florida99% similar profile
Score 31.70
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 | 51.4% | 47.3–55.5 |
| High blood pressure among adults | 71.8% | 68.2–75.3 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.4–10.4 |
| Current asthma among adults | 11.9% | 10.4–13.5 |
| Coronary heart disease among adults | 21.9% | 19.7–24.3 |
| Chronic obstructive pulmonary disease among adults | 29.9% | 26.6–33.4 |
| Depression among adults | 20.6% | 17.4–24.1 |
| Diagnosed diabetes among adults | 40.7% | 37.0–44.5 |
| High cholesterol among adults who have ever been screened | 52.6% | 48.0–57.4 |
| Obesity among adults | 57.6% | 50.4–64.7 |
| Stroke among adults | 15.0% | 13.4–16.6 |
| All teeth lost among adults aged >=65 years | 66.8% | 61.6–71.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 24.5% | 20.0–29.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 87.8% | 85.9–89.5 |
| Visits to doctor for routine checkup within the past year among adults | 84.8% | 82.0–87.4 |
| Cholesterol screening among adults | 82.9% | 80.5–85.2 |
| Colorectal cancer screening among adults aged 45–75 years | 50.4% | 45.0–55.7 |
| Visited dentist or dental clinic in the past year among adults | 2.5% | 2.1–3.0 |
| Mammography use among women aged 50-74 years | 64.3% | 55.1–72.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 7.8% | 6.2–9.6 |
| Current cigarette smoking among adults | 39.3% | 34.6–44.1 |
| No leisure-time physical activity among adults | 64.9% | 59.4–70.4 |
| Short sleep duration among adults | 49.3% | 43.0–55.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 58.2% | 53.3–63.2 |
| Frequent mental distress among adults | 21.2% | 18.7–23.8 |
| Frequent physical distress among adults | 31.2% | 27.8–34.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 30.5% | 26.9–34.1 |
| Any disability among adults | 66.5% | 61.4–71.3 |
| Hearing disability among adults | 18.7% | 16.6–20.8 |
| Independent living disability among adults | 28.2% | 25.2–31.6 |
| Mobility disability among adults | 51.1% | 46.9–55.4 |
| Self-care disability among adults | 22.2% | 19.7–24.9 |
| Vision disability among adults | 26.4% | 23.6–29.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 34.4% | 29.9–38.9 |
| Food insecurity in the past 12 months among adults | 59.7% | 54.5–64.8 |
| Received food stamps in the past 12 months among adults | 57.9% | 52.8–63.0 |
| Housing insecurity in the past 12 months among adults | 34.6% | 30.7–38.7 |
| Lack of reliable transportation in the past 12 months among adults | 31.0% | 27.6–34.5 |
| Loneliness among adults | 38.7% | 33.6–44.0 |
| Utility services shut-off threat in the past 12 months among adults | 31.2% | 28.0–34.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 80.0% | 10.6% (3.1–25.8%) n=32,364 | 19.9% (8.3–37.0%) n=406 |
| Uninsured 18–64 | 5.5% | 9.0% (1.5–24.3%) n=32,286 | 16.8% (8.1–29.3%) n=410 |
| No HS diploma (25+) | 31.9% | 7.9% (1.8–20.7%) n=32,505 | 14.4% (5.9–25.0%) n=411 |
| Bachelor's or higher (25+) | 3.7% | 23.3% (9.2–53.6%) n=32,505 | 18.0% (7.1–33.6%) n=411 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–14.2%) n=411 |
| Households without a vehicle | — | 3.9% (0.0–12.5%) n=32,322 | 5.5% (0.0–13.9%) n=405 |
| Broadband subscription | — | 89.3% (75.1–97.1%) n=32,322 | 79.7% (62.7–93.0%) n=405 |
| Housing cost burden (≥30% income) | — | 23.7% (10.6–40.0%) n=32,322 | 22.7% (9.7–36.0%) n=405 |
| Homeownership rate | — | 78.7% (51.7–94.0%) n=32,322 | 77.2% (49.8–91.7%) n=405 |
| Crowded housing (>1 per room) | — | 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 | — | 53.6% (37.3–74.1%) n=32,087 | 46.9% (29.2–61.4%) n=404 |
| Population 65+ | 24.2% | 19.4% (10.8–33.6%) n=32,553 | 17.8% (11.7–26.2%) n=412 |
| Median age | 49.8 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 | — | $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 | 75.7 yr ± 0.89 | 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 0.89 years of 75.7, 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