ZIP code
30445
in Mount Vernon, GeorgiaPopulation 3,389
42.01/ 100
Ranked #25,202 of 32,066 US ZIPs (bottom 21%)
Ranked #514 of 711 Georgia ZIPs (bottom 28%)
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.
Grocery access
0.62 per 1,000 residents
in the top 1.0% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Unemployment rate
18.3%
in the top 2.4% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Tooth loss
27.2%
in the top 5.0% nationally
Lower is healthier
ST93rdUS95thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Loneliness
40.7%
in the top 3.1% nationally
Lower is healthier
ST90thUS97thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Pharmacy access
0.62 per 1,000 residents
in the top 3.2% nationally
Higher is healthier
ST97thUS97thDefinition & source ›
The number of pharmacies 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 ›Poverty rate
37.3%
in the top 3.8% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Arsenic in groundwater
1.1%
in the bottom 4.7% nationally
Lower is healthier
ST23rdUS5thDefinition & 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 ›Humid extreme heat
139.7 days/year
in the top 7.4% nationally
Lower is healthier
ST82ndUS93rdDefinition & 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 ›Median household income
$32,392
in the bottom 2.6% nationally
Higher is healthier
ST2ndUS3rdDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Lack of transportation
13.8%
in the top 8.5% nationally
Lower is healthier
ST83rdUS92ndDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
On the composite measure, Mount Vernon, Georgia (ZIP 30445) stands in the bottom 21% nationally (25,202nd) and the bottom 28% of Georgia (514th).
Several readings make the pressure on this area plain: unemployment registers in the top 2.4% nationally, and modeled tooth loss lies in the top 5.0% nationally. Modeled loneliness is in the top 3.1% nationally, and poverty registers in the top 3.8% nationally. Modeled humid heat lies in the top 7.4% nationally, household income is in the bottom 2.6% nationally, and modeled transportation registers in the top 8.5% nationally. On the encouraging side, grocery lies in the top 1.0% nationally, pharmacy is in the top 3.2% nationally, and modeled arsenic registers in the bottom 4.7% nationally.
Set beside the wider area around it, grocery runs far higher than the surrounding ZIPs on this measure. For clarity, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. ZIP 30410, 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.
Lifting this score
Environmental Hazard
healthier than 90%
14%
Healthcare Access
healthier than 61%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Holding it back
Social Need / SDOH
healthier than 12%
16%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 34%
8%
Disability
healthier than 23%
7%
Climate / Disaster Risk
healthier than 14%
5%
Lifting this score
Environmental Hazard
healthier than 88%
14%
About typical
Chronic Disease Burden
healthier than 53%
21%
Healthcare Access
healthier than 53%
5%
Holding it back
Social Need / SDOH
healthier than 24%
16%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 22%
11%
Mental Health
healthier than 17%
8%
Disability
healthier than 38%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
30410
Georgiashares a border
Score 43.10
Closest healthier
30412
Georgiashares a border
Score 45.68
Similar health profile
79603
Texas99% similar profile
Score 41.20
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 | 25.1% | 22.2–28.0 |
| High blood pressure among adults | 40.0% | 35.7–44.1 |
| Cancer (non-skin) or melanoma among adults | 6.1% | 5.5–6.7 |
| Current asthma among adults | 10.8% | 9.5–12.1 |
| Coronary heart disease among adults | 6.7% | 6.0–7.4 |
| Chronic obstructive pulmonary disease among adults | 8.0% | 7.1–9.0 |
| Depression among adults | 21.0% | 17.6–24.3 |
| Diagnosed diabetes among adults | 14.6% | 12.8–16.5 |
| High cholesterol among adults who have ever been screened | 35.6% | 31.3–39.6 |
| Obesity among adults | 40.5% | 32.2–48.8 |
| Stroke among adults | 4.2% | 3.8–4.5 |
| All teeth lost among adults aged >=65 years | 27.2% | 22.4–31.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.9% | 13.3–18.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.4% | 71.7–76.8 |
| Visits to doctor for routine checkup within the past year among adults | 77.1% | 73.1–80.6 |
| Cholesterol screening among adults | 81.1% | 78.5–83.4 |
| Colorectal cancer screening among adults aged 45–75 years | 60.2% | 54.2–65.4 |
| Visited dentist or dental clinic in the past year among adults | 49.2% | 44.7–53.2 |
| Mammography use among women aged 50-74 years | 70.6% | 61.1–78.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 11.9–17.7 |
| Current cigarette smoking among adults | 17.6% | 15.1–20.2 |
| No leisure-time physical activity among adults | 32.1% | 27.2–37.2 |
| Short sleep duration among adults | 40.8% | 33.1–48.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.4% | 22.2–28.7 |
| Frequent mental distress among adults | 20.2% | 18.0–22.5 |
| Frequent physical distress among adults | 15.4% | 13.6–17.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.7% | 16.5–21.1 |
| Any disability among adults | 36.5% | 31.8–41.2 |
| Hearing disability among adults | 6.7% | 5.9–7.5 |
| Independent living disability among adults | 11.6% | 10.3–13.0 |
| Mobility disability among adults | 16.6% | 14.5–18.7 |
| Self-care disability among adults | 5.5% | 4.9–6.1 |
| Vision disability among adults | 7.5% | 6.7–8.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.5% | 23.5–31.6 |
| Food insecurity in the past 12 months among adults | 25.6% | 22.2–29.3 |
| Received food stamps in the past 12 months among adults | 22.4% | 19.4–25.7 |
| Housing insecurity in the past 12 months among adults | 19.6% | 16.9–22.4 |
| Lack of reliable transportation in the past 12 months among adults | 13.8% | 12.1–15.7 |
| Loneliness among adults | 40.7% | 35.1–46.2 |
| Utility services shut-off threat in the past 12 months among adults | 13.6% | 11.8–15.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 37.3% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 21.1% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 15.1% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 13.6% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 18.3% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 7.5% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 77.6% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 34.6% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 65.2% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 4.3% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 4.6% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 47.3% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 15.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 34.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $32,392 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $76,100 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $590 | $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 | 78.8 yr ± 1.56 | 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 1.56 years of 78.8, 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