ZIP code
30471
in Twin City, GeorgiaPopulation 4,718
41.08/ 100
Ranked #25,972 of 32,066 US ZIPs (bottom 19%)
Ranked #537 of 711 Georgia ZIPs (bottom 24%)
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.
Fiber broadband
99.4%
in the top 3.6% nationally
Higher is healthier
ST97thUS96thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Grocery access
0.22 per 1,000 residents
in the top 6.3% nationally
Higher is healthier
ST91stUS94thDefinition & 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 ›Fatal road crashes
36 per 100,000 residents per year
in the top 9.0% nationally
Lower is healthier
ST88thUS91stDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Poverty rate
26.1%
in the top 9.7% nationally
Lower is healthier
ST88thUS90thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Distance to a Superfund site
50.9 mi
in the top 12.0% nationally
Higher is healthier
ST91stUS88thDefinition & 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 ›Median household income
$42,236
in the bottom 7.1% nationally
Higher is healthier
ST8thUS7thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Industrial-pollution burden
in the bottom 16% nationally
Lower is healthier
ST7thUS16thDefinition & 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
Twin City, Georgia (ZIP 30471), by its composite score, sits in the bottom 19% nationally (25,972nd) and the bottom 24% of Georgia (537th).
The measures land in both directions, and neither dominates: fiber broadband sits in the top 3.6% nationally, and grocery lies in the top 6.3% nationally. Distance to a community health center rests at the national minimum, shared with about 23% of ZIPs. Modeled arsenic resides in the bottom 11.3% nationally, and distance to a Superfund site is in the top 12.0% nationally. Pulling the other way, fatal road crashes lands in the top 9.0% nationally, poverty stands in the top 9.7% nationally, and home broadband subscription registers in the bottom 10.3% nationally. Modeled loneliness settles in the top 11.2% nationally, and humid heat sits in the top 12.0% nationally.
For anyone unfamiliar, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. For a healthier comparison close by, see ZIP 30425, 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 85%
14%
Healthcare Access
healthier than 81%
5%
About typical
Mental Health
healthier than 46%
8%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 15%
11%
Disability
healthier than 16%
7%
Climate / Disaster Risk
healthier than 29%
5%
Lifting this score
Environmental Hazard
healthier than 81%
14%
Healthcare Access
healthier than 81%
5%
About typical
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Social Need / SDOH
healthier than 22%
16%
Preventive Care
healthier than 33%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 34%
8%
Disability
healthier than 25%
7%
“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 85.0; chronic-disease standing 16.7 — 68 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,167 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
30401
Georgiashares a border
Score 37.28
Closest healthier
30425
Georgiashares a border
Score 42.29
Similar health profile
31070
Georgia99% similar profile
Score 41.84
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 | 31.1% | 27.9–34.4 |
| High blood pressure among adults | 45.1% | 41.0–49.3 |
| Cancer (non-skin) or melanoma among adults | 8.0% | 7.3–8.8 |
| Current asthma among adults | 11.0% | 9.7–12.3 |
| Coronary heart disease among adults | 8.5% | 7.7–9.4 |
| Chronic obstructive pulmonary disease among adults | 10.4% | 9.3–11.5 |
| Depression among adults | 20.7% | 17.6–24.0 |
| Diagnosed diabetes among adults | 17.1% | 15.1–19.1 |
| High cholesterol among adults who have ever been screened | 41.7% | 37.5–45.9 |
| Obesity among adults | 42.2% | 34.7–50.1 |
| Stroke among adults | 5.0% | 4.6–5.4 |
| All teeth lost among adults aged >=65 years | 22.0% | 18.4–26.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.3% | 13.2–17.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.4% | 76.9–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 78.4% | 75.1–81.7 |
| Cholesterol screening among adults | 85.1% | 83.3–87.0 |
| Colorectal cancer screening among adults aged 45–75 years | 64.8% | 59.8–69.7 |
| Visited dentist or dental clinic in the past year among adults | 51.7% | 48.0–55.5 |
| Mammography use among women aged 50-74 years | 73.6% | 65.8–80.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.5% | 11.2–16.2 |
| Current cigarette smoking among adults | 20.0% | 17.4–22.7 |
| No leisure-time physical activity among adults | 34.8% | 30.0–39.6 |
| Short sleep duration among adults | 39.6% | 33.1–46.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.6% | 24.5–30.7 |
| Frequent mental distress among adults | 19.0% | 16.9–21.1 |
| Frequent physical distress among adults | 17.7% | 15.7–19.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.8% | 15.8–19.7 |
| Any disability among adults | 36.9% | 32.6–41.2 |
| Hearing disability among adults | 8.3% | 7.4–9.2 |
| Independent living disability among adults | 11.8% | 10.6–13.0 |
| Mobility disability among adults | 19.7% | 17.5–22.1 |
| Self-care disability among adults | 6.1% | 5.6–6.8 |
| Vision disability among adults | 7.7% | 7.0–8.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.1% | 22.5–30.0 |
| Food insecurity in the past 12 months among adults | 23.2% | 20.3–26.3 |
| Received food stamps in the past 12 months among adults | 21.0% | 18.4–23.7 |
| Housing insecurity in the past 12 months among adults | 17.7% | 15.4–20.2 |
| Lack of reliable transportation in the past 12 months among adults | 11.9% | 10.5–13.3 |
| Loneliness among adults | 37.3% | 32.0–42.8 |
| Utility services shut-off threat in the past 12 months among adults | 12.0% | 10.5–13.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 26.1% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 29.4% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 22.7% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 10.0% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 6.7% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 10.4% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 75.4% | 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 | 67.6% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 2.1% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 1.3% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 46.8% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 17.8% | 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 | $42,236 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $75,800 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $669 | $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 | 74.5 yr ± 0.74 | 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 0.74 years of 74.5, 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