ZIP code
31510
in Alma, GeorgiaPopulation 9,685
43.14/ 100
Ranked #24,248 of 32,066 US ZIPs (bottom 24%)
Ranked #473 of 711 Georgia ZIPs (bottom 33%)
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.
PFAS in drinking water
7.8%
in the bottom 4.6% nationally
Lower is healthier
ST8thUS5thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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
141.6 days/year
in the top 7.0% nationally
Lower is healthier
ST86thUS93rdDefinition & 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 ›Pharmacy access
0.4 per 1,000 residents
in the top 8.0% nationally
Higher is healthier
ST92ndUS92ndDefinition & 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 ›Loneliness
37.9%
in the top 9.1% nationally
Lower is healthier
ST61stUS91stDefinition & source ›
The estimated share of adults who report feeling lonely.
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 ›Median household income
$45,958
in the bottom 9.9% nationally
Higher is healthier
ST13thUS10thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Dry extreme heat
23.3 days/year
in the top 20% nationally
Lower is healthier
ST90thUS80thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
Overall, Alma, Georgia (ZIP 31510) places in the bottom 24% nationally (24,248th) and the bottom 33% of Georgia (473rd).
The data opens on a genuinely even set of readings: modeled pfas lies in the bottom 4.6% nationally, and pharmacy rests in the top 8.0% nationally. Distance to a community health center resides 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. Distance to a Superfund site lands in the top 14.5% nationally. On the other side, modeled humid heat stands in the top 7.0% nationally, loneliness registers in the top 9.1% nationally, and uninsured settles in the top 10.0% nationally. Poverty sits in the top 14.5% nationally. Distance to a hazardous-chemical facility lies at the national minimum, shared with about 31% of ZIPs.
For readers new to these terms, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Among nearby ZIPs, the nearest healthier one overall is ZIP 31516, 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 74%
5%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Social Need / SDOH
healthier than 26%
16%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 34%
8%
Disability
healthier than 22%
7%
Climate / Disaster Risk
healthier than 23%
5%
Lifting this score
Environmental Hazard
healthier than 80%
14%
Healthcare Access
healthier than 73%
5%
About typical
Chronic Disease Burden
healthier than 42%
21%
Social Need / SDOH
healthier than 45%
16%
Holding it back
Preventive Care
healthier than 18%
13%
Risk Behavior
healthier than 25%
11%
Mental Health
healthier than 18%
8%
Disability
healthier than 37%
7%
Climate / Disaster Risk
healthier than 23%
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 73.0 ± 2.0 years. A median household income of $45,958 predicts 77.0 years — 4.0 years below.
Ranked #5,055 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 84.8; chronic-disease standing 32.1 — 53 points apart, cleaner on the environment than it is on chronic illness.
Ranked #2,289 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
31503
Georgiashares a border
Score 38.01
Closest healthier
31516
Georgiashares a border
Score 46.55
Similar health profile
73601
Oklahoma98% similar profile
Score 41.00
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 | 29.1% | 25.9–32.6 |
| High blood pressure among adults | 40.5% | 36.4–45.0 |
| Cancer (non-skin) or melanoma among adults | 8.2% | 7.4–9.0 |
| Current asthma among adults | 10.8% | 9.5–12.1 |
| Coronary heart disease among adults | 7.8% | 7.0–8.6 |
| Chronic obstructive pulmonary disease among adults | 9.5% | 8.5–10.7 |
| Depression among adults | 22.0% | 18.8–25.6 |
| Diagnosed diabetes among adults | 15.0% | 13.2–17.1 |
| High cholesterol among adults who have ever been screened | 39.8% | 35.4–44.3 |
| Obesity among adults | 37.1% | 29.3–45.7 |
| Stroke among adults | 4.4% | 4.1–4.8 |
| All teeth lost among adults aged >=65 years | 21.0% | 17.4–24.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.6% | 13.6–17.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.1% | 75.4–80.6 |
| Visits to doctor for routine checkup within the past year among adults | 77.4% | 73.9–80.8 |
| Cholesterol screening among adults | 84.6% | 82.7–86.4 |
| Colorectal cancer screening among adults aged 45–75 years | 61.6% | 56.3–66.6 |
| Visited dentist or dental clinic in the past year among adults | 52.8% | 48.9–56.6 |
| Mammography use among women aged 50-74 years | 70.6% | 61.8–78.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.4% | 11.9–17.3 |
| Current cigarette smoking among adults | 18.9% | 16.5–21.6 |
| No leisure-time physical activity among adults | 32.6% | 27.8–37.6 |
| Short sleep duration among adults | 39.1% | 32.1–46.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.0% | 22.0–28.1 |
| Frequent mental distress among adults | 19.4% | 17.3–21.6 |
| Frequent physical distress among adults | 16.8% | 14.9–18.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.7% | 15.7–19.7 |
| Any disability among adults | 35.7% | 31.3–40.2 |
| Hearing disability among adults | 8.2% | 7.3–9.2 |
| Independent living disability among adults | 11.2% | 10.0–12.5 |
| Mobility disability among adults | 17.8% | 15.7–20.1 |
| Self-care disability among adults | 5.4% | 4.9–5.9 |
| Vision disability among adults | 7.0% | 6.3–7.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.9% | 21.2–28.6 |
| Food insecurity in the past 12 months among adults | 20.9% | 18.1–23.8 |
| Received food stamps in the past 12 months among adults | 18.2% | 15.9–20.7 |
| Housing insecurity in the past 12 months among adults | 16.3% | 14.1–18.5 |
| Lack of reliable transportation in the past 12 months among adults | 10.9% | 9.7–12.3 |
| Loneliness among adults | 37.9% | 32.3–43.3 |
| Utility services shut-off threat in the past 12 months among adults | 10.8% | 9.4–12.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.2% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 24.8% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 13.4% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 11.5% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 2.2% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 7.8% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 85.8% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 20.1% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 65.6% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 2.9% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 4.0% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 50.9% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 17.6% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 41.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $45,958 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $108,000 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $746 | $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 | 73.0 yr ± 1.01 | 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 1.01 years of 73.0, 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