ZIP code
31027
in East Dublin, GeorgiaPopulation 10,684
38.69/ 100
Ranked #27,600 of 32,066 US ZIPs (bottom 14.0%)
Ranked #601 of 711 Georgia ZIPs (bottom 15%)
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.
Loneliness
42.1%
in the top 1.8% nationally
Lower is healthier
ST94thUS98thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Obesity
45.6%
in the top 3.6% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Self-care disability
6.5%
in the top 8.5% nationally
Lower is healthier
ST81stUS92ndDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Independent-living disability
12.5%
in the top 8.8% nationally
Lower is healthier
ST84thUS91stDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Utility shut-off threat
14.2%
in the top 8.4% nationally
Lower is healthier
ST82ndUS92ndDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Housing insecurity
20.1%
in the top 8.8% nationally
Lower is healthier
ST79thUS91stDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Lack of transportation
13.6%
in the top 8.9% nationally
Lower is healthier
ST81stUS91stDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
26.3%
in the top 9.5% nationally
Lower is healthier
ST81stUS91stDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Uninsured (under 65)
15.6%
in the top 10.0% nationally
Lower is healthier
ST75thUS90thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Dry extreme heat
26.1 days/year
in the top 18% nationally
Lower is healthier
ST96thUS82ndDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
East Dublin, Georgia (ZIP 31027), overall, ranks in the bottom 14.0% nationally (27,600th) and the bottom 15% of Georgia (601st).
Reading the numbers as a whole, the picture lands somewhere in between: modeled loneliness registers in the top 1.8% nationally. On the other side, modeled obesity resides in the top 3.6% nationally, self-care disability settles in the top 8.5% nationally, and independent living disability is in the top 8.8% nationally. Modeled utility shutoff sits in the top 8.4% nationally, and housing insecurity lands in the top 8.8% nationally. Modeled transportation lies in the top 8.9% nationally, and food insecurity stands in the top 9.5% nationally. Modeled humid heat rests in the top 11.0% nationally, and short sleep registers in the top 10.9% nationally.
Defined simply, humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. ZIP 30454, just across the boundary, comes out healthier overall.
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 85%
14%
About typical
Healthcare Access
healthier than 53%
5%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 23%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 33%
8%
Disability
healthier than 14%
7%
Climate / Disaster Risk
healthier than 21%
5%
Lifting this score
Environmental Hazard
healthier than 80%
14%
About typical
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Social Need / SDOH
healthier than 18%
16%
Preventive Care
healthier than 28%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 16%
8%
Disability
healthier than 20%
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
3 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 71.9 ± 1.6 years. A median household income of $53,048 predicts 77.6 years — 5.6 years below.
Ranked #5,685 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 71.9 ± 1.6 years. The 46 nearest ZIP codes with estimates average 76.0 years — 4.0 years below them.
Ranked #3,034 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 84.5; chronic-disease standing 17.3 — 67 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,243 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
30454
Georgiashares a border
Score 46.24
Closest healthier
31002
Georgiashares a border
Score 43.23
Similar health profile
72335
Arkansas99% similar profile
Score 29.88
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 | 30.7% | 27.5–33.9 |
| High blood pressure among adults | 45.5% | 41.5–49.4 |
| Cancer (non-skin) or melanoma among adults | 7.5% | 6.8–8.3 |
| Current asthma among adults | 11.5% | 10.2–12.8 |
| Coronary heart disease among adults | 8.3% | 7.4–9.1 |
| Chronic obstructive pulmonary disease among adults | 10.1% | 9.1–11.2 |
| Depression among adults | 21.3% | 18.1–24.6 |
| Diagnosed diabetes among adults | 17.0% | 15.0–19.0 |
| High cholesterol among adults who have ever been screened | 38.0% | 34.0–42.0 |
| Obesity among adults | 45.6% | 39.0–52.2 |
| Stroke among adults | 5.1% | 4.7–5.5 |
| All teeth lost among adults aged >=65 years | 21.6% | 18.1–25.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.6% | 13.4–17.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.0% | 76.3–81.4 |
| Visits to doctor for routine checkup within the past year among adults | 79.3% | 75.9–82.3 |
| Cholesterol screening among adults | 84.9% | 83.0–86.6 |
| Colorectal cancer screening among adults aged 45–75 years | 62.4% | 57.5–67.1 |
| Visited dentist or dental clinic in the past year among adults | 49.8% | 46.2–53.4 |
| Mammography use among women aged 50-74 years | 74.1% | 67.1–80.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.3% | 11.8–17.1 |
| Current cigarette smoking among adults | 20.4% | 17.8–23.2 |
| No leisure-time physical activity among adults | 35.9% | 31.1–40.5 |
| Short sleep duration among adults | 41.5% | 36.1–47.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.2% | 25.1–31.3 |
| Frequent mental distress among adults | 20.0% | 17.8–22.2 |
| Frequent physical distress among adults | 17.4% | 15.4–19.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.7% | 16.6–20.8 |
| Any disability among adults | 36.6% | 32.3–40.7 |
| Hearing disability among adults | 7.7% | 6.9–8.6 |
| Independent living disability among adults | 12.5% | 11.2–13.8 |
| Mobility disability among adults | 19.7% | 17.5–21.9 |
| Self-care disability among adults | 6.5% | 6.0–7.1 |
| Vision disability among adults | 8.2% | 7.5–9.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.9% | 23.4–30.7 |
| Food insecurity in the past 12 months among adults | 26.3% | 23.2–29.4 |
| Received food stamps in the past 12 months among adults | 24.9% | 22.1–27.7 |
| Housing insecurity in the past 12 months among adults | 20.1% | 17.7–22.6 |
| Lack of reliable transportation in the past 12 months among adults | 13.6% | 12.1–15.1 |
| Loneliness among adults | 42.1% | 36.9–47.2 |
| Utility services shut-off threat in the past 12 months among adults | 14.2% | 12.6–15.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 20.3% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 27.9% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 14.3% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 10.1% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 3.3% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 5.1% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 84.2% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 24.9% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 70.4% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 2.8% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 3.4% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 40.2% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 14.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 39.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $53,048 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $85,100 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $865 | $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 | 71.9 yr ± 0.81 | 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 0.81 years of 71.9, 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