ZIP code
31546
in Jesup, GeorgiaPopulation 7,097
41.72/ 100
Ranked #25,456 of 32,066 US ZIPs (bottom 21%)
Ranked #523 of 711 Georgia ZIPs (bottom 26%)
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.
Mental-health provider access
0.3 per 1,000 residents
in the top 2.1% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of mental-health clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›PFAS in drinking water
6.6%
in the bottom 2.9% nationally
Lower is healthier
ST5thUS3rdDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Humid extreme heat
151.7 days/year
in the top 4.3% nationally
Lower is healthier
ST97thUS96thDefinition & 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 ›Households without a vehicle
17%
in the top 5.9% nationally
Lower is healthier
ST95thUS94thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Obesity
43%
in the top 9.0% nationally
Lower is healthier
ST89thUS91stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Radon
0.9 pCi/L
in the bottom 11.9% nationally
Lower is healthier
ST6thUS12thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
By its overall health score, ZIP 31546, one of several in Jesup, Georgia lands in the bottom 21% nationally (25,456th) and the bottom 26% of Georgia (523rd).
The measures split the difference for this area: mental-health providers registers in the top 2.1% nationally, and modeled pfas sits in the bottom 2.9% nationally. Distance to an emergency room rests in the bottom 12.6% nationally, and modeled radon is in the bottom 11.9% nationally. Against that, modeled humid heat stands in the top 4.3% nationally, households without a vehicle settles in the top 5.9% nationally, and modeled obesity lies in the top 9.0% nationally. Poverty resides in the top 14.1% nationally, modeled housing insecurity lands in the top 14.2% nationally, and modeled uninsured registers in the top 10.7% nationally.
To translate a couple of terms, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Overall, the nearest healthier neighbor is ZIP 31316, 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 84%
14%
Healthcare Access
healthier than 79%
5%
About typical
Mental Health
healthier than 48%
8%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 20%
16%
Preventive Care
healthier than 22%
13%
Risk Behavior
healthier than 17%
11%
Disability
healthier than 19%
7%
Climate / Disaster Risk
healthier than 14%
5%
Lifting this score
Environmental Hazard
healthier than 78%
14%
Healthcare Access
healthier than 79%
5%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Social Need / SDOH
healthier than 36%
16%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 21%
11%
Mental Health
healthier than 38%
8%
Disability
healthier than 31%
7%
Climate / Disaster Risk
healthier than 10%
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 83.8; chronic-disease standing 21.2 — 63 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,554 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
31316
Georgiashares a border
Score 45.34
Closest healthier
31543
Georgiashares a border
Score 42.41
Similar health profile
39466
Mississippi99% similar profile
Score 41.58
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 | 30.1% | 26.7–33.4 |
| High blood pressure among adults | 44.1% | 39.7–48.5 |
| Cancer (non-skin) or melanoma among adults | 8.2% | 7.4–9.0 |
| Current asthma among adults | 10.7% | 9.5–12.1 |
| Coronary heart disease among adults | 8.3% | 7.4–9.2 |
| Chronic obstructive pulmonary disease among adults | 9.8% | 8.7–11.1 |
| Depression among adults | 20.7% | 17.5–24.1 |
| Diagnosed diabetes among adults | 16.5% | 14.4–18.6 |
| High cholesterol among adults who have ever been screened | 40.4% | 36.0–45.0 |
| Obesity among adults | 43.0% | 35.1–51.1 |
| Stroke among adults | 4.8% | 4.4–5.2 |
| All teeth lost among adults aged >=65 years | 20.8% | 17.4–24.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.3% | 13.0–17.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.6% | 76.7–82.0 |
| Visits to doctor for routine checkup within the past year among adults | 78.8% | 75.3–82.0 |
| Cholesterol screening among adults | 85.4% | 83.5–87.2 |
| Colorectal cancer screening among adults aged 45–75 years | 62.5% | 57.1–67.4 |
| Visited dentist or dental clinic in the past year among adults | 51.6% | 47.5–55.4 |
| Mammography use among women aged 50-74 years | 71.6% | 63.2–78.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.3% | 11.6–17.2 |
| Current cigarette smoking among adults | 19.2% | 16.5–22.2 |
| No leisure-time physical activity among adults | 32.7% | 27.8–37.8 |
| Short sleep duration among adults | 39.7% | 32.9–46.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.1% | 22.9–29.5 |
| Frequent mental distress among adults | 18.7% | 16.6–20.9 |
| Frequent physical distress among adults | 17.2% | 15.2–19.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.5% | 15.4–19.6 |
| Any disability among adults | 36.0% | 31.6–40.7 |
| Hearing disability among adults | 8.4% | 7.4–9.4 |
| Independent living disability among adults | 11.3% | 10.1–12.7 |
| Mobility disability among adults | 18.6% | 16.2–21.1 |
| Self-care disability among adults | 5.9% | 5.3–6.5 |
| Vision disability among adults | 7.4% | 6.7–8.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.2% | 21.7–29.0 |
| Food insecurity in the past 12 months among adults | 22.1% | 19.1–25.1 |
| Received food stamps in the past 12 months among adults | 19.5% | 17.1–22.2 |
| Housing insecurity in the past 12 months among adults | 17.1% | 14.8–19.5 |
| Lack of reliable transportation in the past 12 months among adults | 11.3% | 10.1–12.8 |
| Loneliness among adults | 36.3% | 31.1–41.7 |
| Utility services shut-off threat in the past 12 months among adults | 11.7% | 10.3–13.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.4% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 23.6% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 15.4% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 23.8% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 7.3% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 17.0% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 92.1% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 19.1% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 64.1% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 2.3% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 2.0% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 39.8% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 17.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 43.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $66,912 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $207,900 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $818 | $1,021 ($677–$1,912) n=25,670 | $993 ($694–$1,769) n=627 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 76.7 yr ± 0.97 | 78.9 yr (74.7–82.8) n=31,308 | 76.1 yr (73.3–79.7) n=668 |
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 0.97 years of 76.7, 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