ZIP code
39459
in Moselle, MississippiPopulation 3,705
44.95/ 100
Ranked #22,463 of 32,066 US ZIPs (bottom 30%)
Ranked #117 of 406 Mississippi ZIPs (top 29%)
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.
Fatal road crashes
48.6 per 100,000 residents per year
in the top 4.3% nationally
Lower is healthier
ST89thUS96thDefinition & 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 ›Lithium in drinking water
9.8 µg/L
in the bottom 6.0% nationally
Lower is healthier
ST11thUS6thDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Housing-cost burden
6.8%
in the bottom 6.3% nationally
Lower is healthier
ST7thUS6thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Arsenic in groundwater
1.3%
in the bottom 7.4% nationally
Lower is healthier
ST22ndUS7thDefinition & 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 ›Short sleep
29.3%
in the bottom 6.8% nationally
Lower is healthier
ST1stUS7thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Home broadband subscription
73.1%
in the bottom 8.2% nationally
Higher is healthier
ST26thUS8thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Humid extreme heat
134.9 days/year
in the top 8.6% nationally
Lower is healthier
ST70thUS91stDefinition & 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 ›Industrial-pollution burden
in the top 12.6% nationally
Lower is healthier
ST93rdUS87thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›The read
In its overall standing, Moselle, Mississippi (ZIP 39459) lands in the bottom 30% nationally (22,463rd) and the top 29% of Mississippi (117th).
Taken together, the data gives a genuinely mixed reading: lithium in drinking water lands in the bottom 6.0% nationally, housing-cost burden lies in the bottom 6.3% nationally, and modeled arsenic stands in the bottom 7.4% nationally. Modeled short sleep rests in the bottom 6.8% nationally. Households without a vehicle registers at the national minimum, shared with about 16% of ZIPs. On the other side, fatal road crashes resides in the top 4.3% nationally, and home broadband subscription settles in the bottom 8.2% nationally. Modeled humid heat is in the top 8.6% nationally, and industrial-pollution burden sits in the top 12.6% nationally. Poverty lands in the top 14.5% nationally.
Put simply, lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. On the overall standing, ZIP 39465, just across the boundary, ranks healthier.
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%
About typical
Risk Behavior
healthier than 52%
11%
Mental Health
healthier than 59%
8%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
healthier than 34%
16%
Preventive Care
healthier than 15%
13%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 21%
5%
Healthcare Access
healthier than 33%
5%
Lifting this score
Chronic Disease Burden
healthier than 72%
21%
Social Need / SDOH
healthier than 73%
16%
Risk Behavior
healthier than 88%
11%
Disability
healthier than 68%
7%
About typical
Environmental Hazard
healthier than 43%
14%
Climate / Disaster Risk
healthier than 53%
5%
Holding it back
Preventive Care
healthier than 27%
13%
Mental Health
healthier than 39%
8%
Healthcare Access
healthier than 24%
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
39401
Mississippishares a border
Score 42.17
Closest healthier
39465
Mississippishares a border
Score 49.96
Similar health profile
85344
Arizona98% similar profile
Score 40.85
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 | 31.8% | 28.4–35.5 |
| High blood pressure among adults | 44.5% | 40.2–48.8 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.0–9.9 |
| Current asthma among adults | 9.6% | 8.4–10.9 |
| Coronary heart disease among adults | 8.3% | 7.3–9.4 |
| Chronic obstructive pulmonary disease among adults | 9.8% | 8.4–11.4 |
| Depression among adults | 21.5% | 18.1–25.1 |
| Diagnosed diabetes among adults | 15.0% | 13.0–17.2 |
| High cholesterol among adults who have ever been screened | 41.1% | 36.7–45.6 |
| Obesity among adults | 40.2% | 33.3–47.4 |
| Stroke among adults | 4.4% | 3.9–4.9 |
| All teeth lost among adults aged >=65 years | 13.5% | 11.0–16.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.6% | 9.3–14.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.9% | 76.9–82.3 |
| Visits to doctor for routine checkup within the past year among adults | 79.9% | 76.2–82.9 |
| Cholesterol screening among adults | 85.6% | 83.2–87.6 |
| Colorectal cancer screening among adults aged 45–75 years | 62.1% | 57.0–67.1 |
| Visited dentist or dental clinic in the past year among adults | 10.3% | 8.7–12.0 |
| Mammography use among women aged 50-74 years | 70.4% | 62.0–77.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.4% | 11.7–17.3 |
| Current cigarette smoking among adults | 18.3% | 15.4–21.6 |
| No leisure-time physical activity among adults | 34.6% | 29.7–40.0 |
| Short sleep duration among adults | 29.3% | 24.1–35.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.9% | 20.6–27.5 |
| Frequent mental distress among adults | 17.0% | 14.9–19.2 |
| Frequent physical distress among adults | 15.8% | 13.8–18.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.7% | 15.4–20.2 |
| Any disability among adults | 38.3% | 33.7–43.2 |
| Hearing disability among adults | 9.6% | 8.4–10.8 |
| Independent living disability among adults | 10.4% | 9.0–11.9 |
| Mobility disability among adults | 18.9% | 16.5–21.7 |
| Self-care disability among adults | 5.2% | 4.5–5.9 |
| Vision disability among adults | 6.6% | 5.9–7.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.5% | 21.8–29.4 |
| Food insecurity in the past 12 months among adults | 18.1% | 14.9–21.5 |
| Received food stamps in the past 12 months among adults | 10.5% | 8.3–12.9 |
| Housing insecurity in the past 12 months among adults | 13.1% | 11.0–15.5 |
| Lack of reliable transportation in the past 12 months among adults | 10.1% | 8.7–11.8 |
| Loneliness among adults | 34.3% | 29.4–39.4 |
| Utility services shut-off threat in the past 12 months among adults | 8.8% | 7.5–10.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.2% | 10.6% (3.1–25.8%) n=32,364 | 19.9% (8.3–37.0%) n=406 |
| Uninsured 18–64 | 16.8% | 9.0% (1.5–24.3%) n=32,286 | 16.8% (8.1–29.3%) n=410 |
| No HS diploma (25+) | 16.4% | 7.9% (1.8–20.7%) n=32,505 | 14.4% (5.9–25.0%) n=411 |
| Bachelor's or higher (25+) | 21.6% | 23.3% (9.2–53.6%) n=32,505 | 18.0% (7.1–33.6%) n=411 |
| Unemployment rate (16+) | 4.8% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–14.2%) n=411 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 5.5% (0.0–13.9%) n=405 |
| Broadband subscription | 73.1% | 89.3% (75.1–97.1%) n=32,322 | 79.7% (62.7–93.0%) n=405 |
| Housing cost burden (≥30% income) | 6.8% | 23.7% (10.6–40.0%) n=32,322 | 22.7% (9.7–36.0%) n=405 |
| Homeownership rate | 86.0% | 78.7% (51.7–94.0%) n=32,322 | 77.2% (49.8–91.7%) n=405 |
| Crowded housing (>1 per room) | 1.6% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–5.0%) n=405 |
| Foreign-born population | 6.7% | 2.6% (0.0–18.6%) n=32,553 | 0.6% (0.0–4.4%) n=412 |
| Single-parent households | 49.4% | 53.6% (37.3–74.1%) n=32,087 | 46.9% (29.2–61.4%) n=404 |
| Population 65+ | 21.8% | 19.4% (10.8–33.6%) n=32,553 | 17.8% (11.7–26.2%) n=412 |
| Median age | 37.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.5 yr (30.5–49.6) n=411 |
| Median household income | $53,581 | $72,070 ($46,039–$118,707) n=30,318 | $50,353 ($32,100–$72,379) n=377 |
| Median home value | $155,900 | $222,200 ($100,300–$579,820) n=30,049 | $118,100 ($72,660–$219,420) n=374 |
| Median gross rent | $570 | $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 | 74.6 yr ± 0.96 | 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 0.96 years of 74.6, 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