ZIP code
39175
in Utica, MississippiPopulation 4,259
41.59/ 100
Ranked #25,583 of 32,066 US ZIPs (bottom 20%)
Ranked #192 of 406 Mississippi ZIPs (top 47%)
Ranked #36 of 59 Jackson, MS ZIPs (bottom 39%)
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
49.2%
in the top 4.3% nationally
Lower is healthier
ST58thUS96thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Humid extreme heat
145.7 days/year
in the top 5.9% nationally
Lower is healthier
ST94thUS94thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Fatal road crashes
42.3 per 100,000 residents per year
in the top 6.1% nationally
Lower is healthier
ST83rdUS94thDefinition & 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 ›Tooth loss
24.4%
in the top 8.1% nationally
Lower is healthier
ST66thUS92ndDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Binge drinking
11.8%
in the bottom 5.8% nationally
Lower is healthier
ST35thUS6thDefinition & 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 ›Diabetes
18.2%
in the top 7.5% nationally
Lower is healthier
ST58thUS93rdDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Lack of transportation
14.3%
in the top 7.4% nationally
Lower is healthier
ST63rdUS93rdDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Loneliness
38.4%
in the top 7.5% nationally
Lower is healthier
ST78thUS93rdDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Self-care disability
6.5%
in the top 8.5% nationally
Lower is healthier
ST57thUS92ndDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Food insecurity
27.2%
in the top 8.5% nationally
Lower is healthier
ST62ndUS92ndDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
Overall, Utica, Mississippi (ZIP 39175) places in the bottom 20% nationally (25,583rd) and the top 47% of Mississippi (192nd).
The data opens on a genuinely even set of readings: modeled binge drinking rests in the bottom 5.8% nationally. On the other side, modeled high blood pressure resides in the top 4.3% nationally, and humid heat is in the top 5.9% nationally. Fatal road crashes lands in the top 6.1% nationally, modeled tooth loss stands in the top 8.1% nationally, and modeled diabetes registers in the top 7.5% nationally. Modeled transportation settles in the top 7.4% nationally, loneliness sits in the top 7.5% nationally, and self-care disability lies in the top 8.5% nationally. Modeled food insecurity rests in the top 8.5% nationally.
For readers new to these terms, humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Among nearby ZIPs, the nearest healthier one overall is ZIP 39059, 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
Mental Health
healthier than 75%
8%
About typical
Environmental Hazard
healthier than 60%
14%
Healthcare Access
healthier than 54%
5%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 8%
16%
Preventive Care
healthier than 31%
13%
Risk Behavior
healthier than 22%
11%
Disability
healthier than 13%
7%
Climate / Disaster Risk
healthier than 23%
5%
Lifting this score
Preventive Care
healthier than 81%
13%
Mental Health
healthier than 77%
8%
Climate / Disaster Risk
healthier than 60%
5%
About typical
Chronic Disease Burden
healthier than 50%
21%
Risk Behavior
healthier than 50%
11%
Disability
healthier than 51%
7%
Healthcare Access
healthier than 49%
5%
Holding it back
Social Need / SDOH
healthier than 36%
16%
Environmental Hazard
healthier than 24%
14%
Lifting this score
Preventive Care
healthier than 67%
13%
Mental Health
healthier than 64%
8%
Climate / Disaster Risk
healthier than 71%
5%
About typical
Environmental Hazard
healthier than 48%
14%
Risk Behavior
healthier than 43%
11%
Disability
healthier than 41%
7%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Social Need / SDOH
healthier than 34%
16%
Healthcare Access
healthier than 33%
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
39059
Mississippishares a border
Score 42.34
Closest healthier
39066
Mississippishares a border
Score 43.80
Similar health profile
39428
Mississippi99% similar profile
Score 41.21
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 | 30.9% | 28.0–33.7 |
| High blood pressure among adults | 49.2% | 45.8–52.6 |
| Cancer (non-skin) or melanoma among adults | 7.2% | 6.6–7.9 |
| Current asthma among adults | 10.6% | 9.5–11.8 |
| Coronary heart disease among adults | 8.3% | 7.5–9.2 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 8.3–10.4 |
| Depression among adults | 18.0% | 15.6–20.5 |
| Diagnosed diabetes among adults | 18.2% | 16.3–20.3 |
| High cholesterol among adults who have ever been screened | 40.0% | 36.5–43.5 |
| Obesity among adults | 43.3% | 37.8–48.7 |
| Stroke among adults | 5.4% | 5.0–5.9 |
| All teeth lost among adults aged >=65 years | 24.4% | 20.9–28.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.3% | 9.5–13.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.7% | 79.6–83.6 |
| Visits to doctor for routine checkup within the past year among adults | 83.6% | 81.2–85.8 |
| Cholesterol screening among adults | 86.9% | 85.2–88.6 |
| Colorectal cancer screening among adults aged 45–75 years | 62.6% | 58.1–66.9 |
| Visited dentist or dental clinic in the past year among adults | 8.3% | 7.1–9.6 |
| Mammography use among women aged 50-74 years | 75.7% | 69.5–81.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.8% | 10.0–13.8 |
| Current cigarette smoking among adults | 17.0% | 14.9–19.6 |
| No leisure-time physical activity among adults | 36.3% | 32.1–40.8 |
| Short sleep duration among adults | 41.8% | 37.0–46.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.3% | 24.4–30.5 |
| Frequent mental distress among adults | 17.6% | 15.8–19.5 |
| Frequent physical distress among adults | 15.7% | 14.1–17.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.0% | 16.1–20.1 |
| Any disability among adults | 40.3% | 36.4–44.5 |
| Hearing disability among adults | 8.0% | 7.2–8.9 |
| Independent living disability among adults | 11.6% | 10.4–13.0 |
| Mobility disability among adults | 21.6% | 19.4–24.2 |
| Self-care disability among adults | 6.5% | 5.9–7.2 |
| Vision disability among adults | 8.4% | 7.7–9.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 32.3% | 28.8–35.9 |
| Food insecurity in the past 12 months among adults | 27.2% | 24.1–30.6 |
| Received food stamps in the past 12 months among adults | 17.0% | 14.6–19.7 |
| Housing insecurity in the past 12 months among adults | 20.2% | 17.8–22.7 |
| Lack of reliable transportation in the past 12 months among adults | 14.3% | 12.7–16.0 |
| Loneliness among adults | 38.4% | 34.4–42.6 |
| Utility services shut-off threat in the past 12 months among adults | 13.9% | 12.3–15.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.8% | 10.6% (3.1–25.8%) n=32,364 | 19.9% (8.3–37.0%) n=406 |
| Uninsured 18–64 | 13.7% | 9.0% (1.5–24.3%) n=32,286 | 16.8% (8.1–29.3%) n=410 |
| No HS diploma (25+) | 17.2% | 7.9% (1.8–20.7%) n=32,505 | 14.4% (5.9–25.0%) n=411 |
| Bachelor's or higher (25+) | 21.1% | 23.3% (9.2–53.6%) n=32,505 | 18.0% (7.1–33.6%) n=411 |
| Unemployment rate (16+) | 6.3% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–14.2%) n=411 |
| Households without a vehicle | 4.1% | 3.9% (0.0–12.5%) n=32,322 | 5.5% (0.0–13.9%) n=405 |
| Broadband subscription | 82.1% | 89.3% (75.1–97.1%) n=32,322 | 79.7% (62.7–93.0%) n=405 |
| Housing cost burden (≥30% income) | 21.1% | 23.7% (10.6–40.0%) n=32,322 | 22.7% (9.7–36.0%) n=405 |
| Homeownership rate | 88.4% | 78.7% (51.7–94.0%) n=32,322 | 77.2% (49.8–91.7%) n=405 |
| Crowded housing (>1 per room) | 0.2% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–5.0%) n=405 |
| Foreign-born population | 0.1% | 2.6% (0.0–18.6%) n=32,553 | 0.6% (0.0–4.4%) n=412 |
| Single-parent households | 44.1% | 53.6% (37.3–74.1%) n=32,087 | 46.9% (29.2–61.4%) n=404 |
| Population 65+ | 23.3% | 19.4% (10.8–33.6%) n=32,553 | 17.8% (11.7–26.2%) n=412 |
| Median age | 48.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.5 yr (30.5–49.6) n=411 |
| Median household income | $46,488 | $72,070 ($46,039–$118,707) n=30,318 | $50,353 ($32,100–$72,379) n=377 |
| Median home value | $118,300 | $222,200 ($100,300–$579,820) n=30,049 | $118,100 ($72,660–$219,420) n=374 |
| Median gross rent | $1,080 | $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 | 76.8 yr ± 0.93 | 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 0.93 years of 76.8, 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