ZIP code
30655
in Monroe, GeorgiaPopulation 29,785
44.34/ 100
Ranked #23,082 of 32,066 US ZIPs (bottom 28%)
Ranked #433 of 711 Georgia ZIPs (bottom 39%)
Ranked #190 of 206 Atlanta-Sandy Springs-Roswell, GA ZIPs (bottom 7.8%)
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
1.2%
in the bottom 5.5% nationally
Lower is healthier
ST27thUS5thDefinition & 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 ›Air-toxics cancer risk
37.2 per million
in the top 8.2% nationally
Lower is healthier
ST77thUS92ndDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Crowded housing
6.4%
in the top 9.9% nationally
Lower is healthier
ST94thUS90thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Industrial-pollution burden
in the top 10.0% nationally
Lower is healthier
ST97thUS90thDefinition & 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
ZIP 30655, one of several in Monroe, Georgia, by its composite score, sits in the bottom 28% nationally (23,082nd) and the bottom 39% of Georgia (433rd).
The measures land in both directions, and neither dominates: modeled arsenic is in the bottom 5.5% nationally, and physicians lands in the top 10.5% nationally. Distance to a community health center stands at the national minimum, shared with about 23% of ZIPs. Distance to a nursing home registers at the national minimum, shared with about 27% of ZIPs. Subsidized affordable housing settles in the top 14.2% nationally. Pulling the other way, modeled air-toxics cancer risk sits in the top 8.2% nationally, crowded housing lies in the top 9.9% nationally, and modeled industrial-pollution burden rests in the top 10.0% nationally. Modeled loneliness resides in the top 10.9% nationally, and housing insecurity is in the top 14.6% nationally.
For anyone unfamiliar, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier comparison close by, see ZIP 30014, 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 Atlanta-Sandy Springs-Roswell, GA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 73%
5%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Social Need / SDOH
healthier than 21%
16%
Environmental Hazard
healthier than 38%
14%
Preventive Care
healthier than 21%
13%
Risk Behavior
healthier than 32%
11%
Mental Health
healthier than 37%
8%
Disability
healthier than 24%
7%
Climate / Disaster Risk
healthier than 34%
5%
Lifting this score
Healthcare Access
healthier than 70%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Risk Behavior
healthier than 44%
11%
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Social Need / SDOH
healthier than 38%
16%
Environmental Hazard
healthier than 29%
14%
Preventive Care
healthier than 25%
13%
Mental Health
healthier than 23%
8%
Disability
healthier than 40%
7%
Lifting this score
Environmental Hazard
healthier than 62%
14%
About typical
Healthcare Access
healthier than 59%
5%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 18%
16%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 9%
7%
Climate / Disaster Risk
healthier than 19%
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
2 of our published findings list 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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 75.2 ± 1.2 years. A median household income of $69,148 predicts 78.6 years — 3.4 years below.
Ranked #4,590 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 75.2 ± 1.2 years. The 45 nearest ZIP codes with estimates average 77.3 years — 2.1 years below them.
Ranked #1,635 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
30014
Georgiashares a border
Score 47.22
Closest healthier
30025
Georgiashares a border
Score 53.40
Similar health profile
31535
Georgia96% similar profile
Score 37.84
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 | 28.5% | 25.4–31.5 |
| High blood pressure among adults | 39.6% | 35.5–43.5 |
| Cancer (non-skin) or melanoma among adults | 7.9% | 7.2–8.7 |
| Current asthma among adults | 11.0% | 9.7–12.4 |
| Coronary heart disease among adults | 7.1% | 6.5–7.9 |
| Chronic obstructive pulmonary disease among adults | 8.9% | 8.0–9.8 |
| Depression among adults | 21.9% | 18.7–25.2 |
| Diagnosed diabetes among adults | 14.3% | 12.5–16.0 |
| High cholesterol among adults who have ever been screened | 37.9% | 33.8–42.0 |
| Obesity among adults | 40.5% | 33.3–47.7 |
| Stroke among adults | 4.3% | 4.0–4.6 |
| All teeth lost among adults aged >=65 years | 19.0% | 15.7–22.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 14.5% | 12.7–16.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.1% | 75.4–80.5 |
| Visits to doctor for routine checkup within the past year among adults | 77.7% | 74.1–80.9 |
| Cholesterol screening among adults | 84.9% | 83.1–86.5 |
| Colorectal cancer screening among adults aged 45–75 years | 62.1% | 56.8–67.3 |
| Visited dentist or dental clinic in the past year among adults | 53.8% | 50.1–57.6 |
| Mammography use among women aged 50-74 years | 72.5% | 64.0–79.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.0% | 11.5–16.8 |
| Current cigarette smoking among adults | 17.8% | 15.5–20.2 |
| No leisure-time physical activity among adults | 31.3% | 26.9–35.7 |
| Short sleep duration among adults | 37.8% | 31.4–44.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.1% | 21.5–26.9 |
| Frequent mental distress among adults | 19.1% | 17.0–21.3 |
| Frequent physical distress among adults | 15.9% | 14.2–17.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.6% | 15.8–19.6 |
| Any disability among adults | 35.3% | 31.2–39.5 |
| Hearing disability among adults | 7.5% | 6.7–8.3 |
| Independent living disability among adults | 11.3% | 10.1–12.4 |
| Mobility disability among adults | 17.2% | 15.2–19.2 |
| Self-care disability among adults | 5.4% | 4.9–5.9 |
| Vision disability among adults | 7.0% | 6.4–7.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.9% | 20.8–27.4 |
| Food insecurity in the past 12 months among adults | 21.8% | 19.3–24.4 |
| Received food stamps in the past 12 months among adults | 19.8% | 17.7–22.1 |
| Housing insecurity in the past 12 months among adults | 16.9% | 14.9–19.0 |
| Lack of reliable transportation in the past 12 months among adults | 11.5% | 10.3–12.8 |
| Loneliness among adults | 37.4% | 32.6–42.4 |
| Utility services shut-off threat in the past 12 months among adults | 11.5% | 10.2–12.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.5% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 15.3% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 15.8% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 20.7% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 6.5% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 5.5% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 89.8% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 34.3% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 67.4% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 6.4% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 3.6% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 39.9% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 15.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 36.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $69,148 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $326,800 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $1,087 | $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 | 75.2 yr ± 0.60 | 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 0.60 years of 75.2, 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