ZIP code
30528
in Cleveland, GeorgiaPopulation 24,081
52.01/ 100
Ranked #13,432 of 32,066 US ZIPs (top 42%)
Ranked #219 of 711 Georgia ZIPs (top 31%)
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.
Arsenic in groundwater
0.83%
in the bottom 0.4% nationally
Lower is healthier
ST2ndUS1stDefinition & 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 ›Expected annual disaster loss
$0
in the top 3.4% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Park land
19.9%
in the top 7.0% nationally
Higher is healthier
ST96thUS93rdDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Natural-disaster risk
in the top 9.4% nationally
Lower is healthier
ST96thUS91stDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Tree cover
68.6%
in the top 9.9% nationally
Higher is healthier
ST94thUS90thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Distance to a Superfund site
55.3 mi
in the top 10.1% nationally
Higher is healthier
ST95thUS90thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Floodplain exposure
2.9%
in the bottom 24% nationally
Lower is healthier
ST8thUS24thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Dry extreme heat
0.2 days/year
in the bottom 26% nationally
Lower is healthier
ST3rdUS26thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Humid extreme heat
89.2 days/year
in the top 28% nationally
Lower is healthier
ST2ndUS72ndDefinition & 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 ›Short sleep
33.6%
in the bottom 32% nationally
Lower is healthier
ST10thUS32ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›The read
On balance, and by the composite measure, Cleveland, Georgia (ZIP 30528) ranks in the top 42% healthiest ZIPs nationally (13,432nd) and the top 31% of Georgia (219th).
Strengths and concerns sit side by side across the measures here: modeled arsenic resides in the bottom 0.4% nationally, and park land lands in the top 7.0% nationally. Modeled tree cover registers in the top 9.9% nationally, and distance to a Superfund site sits in the top 10.1% nationally. Distance to a community health center rests at the national minimum, shared with about 23% of ZIPs. Distance to a nursing home is at the national minimum, shared with about 27% of ZIPs. Subsidized affordable housing stands in the top 21% nationally. On the other hand, modeled expected annual loss settles in the top 3.4% nationally, modeled disaster risk lies in the top 9.4% nationally, and fatal road crashes resides in the top 20% nationally.
Compared with the ZIPs it borders, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plainer terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. For a healthier nearby ZIP overall, look to ZIP 30512, 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
Social Need / SDOH
healthier than 69%
16%
Environmental Hazard
healthier than 69%
14%
Risk Behavior
healthier than 63%
11%
Climate / Disaster Risk
healthier than 60%
5%
Healthcare Access
healthier than 77%
5%
About typical
Chronic Disease Burden
healthier than 45%
21%
Mental Health
healthier than 53%
8%
Disability
healthier than 43%
7%
Holding it back
Preventive Care
healthier than 40%
13%
Lifting this score
Social Need / SDOH
healthier than 81%
16%
Preventive Care
healthier than 60%
13%
Risk Behavior
healthier than 79%
11%
Disability
healthier than 60%
7%
Climate / Disaster Risk
healthier than 98%
5%
Healthcare Access
healthier than 76%
5%
About typical
Chronic Disease Burden
healthier than 54%
21%
Environmental Hazard
healthier than 54%
14%
Mental Health
healthier than 45%
8%
Nothing measured is holding this score back.
“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
30512
Georgiashares a border
Score 52.63
Closest healthier
30523
Georgiashares a border
Score 54.30
Similar health profile
32935
Florida89% similar profile
Score 54.48
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 | 29.4% | 26.3–32.8 |
| High blood pressure among adults | 39.0% | 35.0–43.2 |
| Cancer (non-skin) or melanoma among adults | 9.8% | 8.9–10.7 |
| Current asthma among adults | 10.2% | 9.1–11.4 |
| Coronary heart disease among adults | 7.7% | 7.0–8.5 |
| Chronic obstructive pulmonary disease among adults | 8.5% | 7.7–9.5 |
| Depression among adults | 21.7% | 18.6–25.1 |
| Diagnosed diabetes among adults | 13.0% | 11.5–14.8 |
| High cholesterol among adults who have ever been screened | 40.4% | 36.2–44.8 |
| Obesity among adults | 35.1% | 27.6–43.1 |
| Stroke among adults | 4.0% | 3.6–4.3 |
| All teeth lost among adults aged >=65 years | 14.2% | 11.7–17.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.0% | 10.3–13.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.5% | 77.0–81.9 |
| Visits to doctor for routine checkup within the past year among adults | 77.9% | 74.4–81.2 |
| Cholesterol screening among adults | 86.3% | 84.7–87.9 |
| Colorectal cancer screening among adults aged 45–75 years | 67.0% | 62.0–71.8 |
| Visited dentist or dental clinic in the past year among adults | 60.8% | 57.1–64.3 |
| Mammography use among women aged 50-74 years | 72.5% | 64.4–79.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.3–18.0 |
| Current cigarette smoking among adults | 15.4% | 13.4–17.6 |
| No leisure-time physical activity among adults | 26.7% | 22.7–31.1 |
| Short sleep duration among adults | 33.6% | 27.4–40.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.6% | 18.2–23.2 |
| Frequent mental distress among adults | 17.5% | 15.7–19.6 |
| Frequent physical distress among adults | 15.3% | 13.7–17.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 13.8–17.3 |
| Any disability among adults | 32.4% | 28.5–36.6 |
| Hearing disability among adults | 8.4% | 7.5–9.4 |
| Independent living disability among adults | 9.3% | 8.4–10.4 |
| Mobility disability among adults | 15.4% | 13.6–17.4 |
| Self-care disability among adults | 4.2% | 3.8–4.6 |
| Vision disability among adults | 5.3% | 4.9–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.9% | 18.7–25.5 |
| Food insecurity in the past 12 months among adults | 13.6% | 11.5–15.7 |
| Received food stamps in the past 12 months among adults | 10.4% | 8.8–12.1 |
| Housing insecurity in the past 12 months among adults | 10.7% | 9.2–12.3 |
| Lack of reliable transportation in the past 12 months among adults | 7.7% | 6.8–8.7 |
| Loneliness among adults | 35.3% | 30.2–40.8 |
| Utility services shut-off threat in the past 12 months among adults | 6.6% | 5.7–7.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.5% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 18.8% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 15.9% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 22.3% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 3.8% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 2.6% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 90.1% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 20.3% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 77.6% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 1.7% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 2.9% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 59.0% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 21.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 43.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $70,873 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $274,000 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $1,035 | $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 | 78.5 yr ± 0.61 | 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 0.61 years of 78.5, 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