ZIP code
31625
in Barney, GeorgiaPopulation 915
44.82/ 100
Ranked #22,606 of 32,066 US ZIPs (bottom 30%)
Ranked #417 of 711 Georgia ZIPs (bottom 41%)
Ranked #10 of 18 Valdosta, GA ZIPs (bottom 44%)
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.
Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›PFAS in drinking water
8.6%
in the bottom 6.0% nationally
Lower is healthier
ST11thUS6thDefinition & 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
143 days/year
in the top 6.5% nationally
Lower is healthier
ST89thUS94thDefinition & 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 ›Arsenic in groundwater
1.2%
in the bottom 6.7% nationally
Lower is healthier
ST32ndUS7thDefinition & 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 ›Walkability
2.1 intersections/sq mi
in the bottom 8.1% nationally
Higher is healthier
ST2ndUS8thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Poverty rate
2.6%
in the bottom 8.5% nationally
Lower is healthier
ST4thUS8thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Housing-cost burden
13.2%
in the bottom 14.5% nationally
Lower is healthier
ST9thUS14thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›The read
Barney, Georgia (ZIP 31625), overall, ranks in the bottom 30% nationally (22,606th) and the bottom 41% of Georgia (417th).
Reading the numbers as a whole, the picture lands somewhere in between: home broadband subscription sits at the national maximum, modeled pfas lands in the bottom 6.0% nationally, and modeled arsenic lies in the bottom 6.7% nationally. Households without a vehicle stands at the national minimum, shared with about 16% of ZIPs. Poverty rests in the bottom 8.5% nationally. Crowded housing registers at the national minimum, shared with about 29% of ZIPs. On the other side, modeled humid heat resides in the top 6.5% nationally, and walkability settles in the bottom 8.1% nationally. Modeled loneliness is in the top 14.2% nationally, and diabetes sits in the top 12.8% nationally.
Defined simply, 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. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. ZIP 31632, 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. Compare it against the US, this state and the Valdosta, GA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 92%
14%
About typical
Social Need / SDOH
healthier than 47%
16%
Mental Health
healthier than 55%
8%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Preventive Care
healthier than 37%
13%
Risk Behavior
healthier than 27%
11%
Disability
healthier than 22%
7%
Climate / Disaster Risk
healthier than 18%
5%
Healthcare Access
healthier than 26%
5%
Lifting this score
Social Need / SDOH
healthier than 64%
16%
Environmental Hazard
healthier than 93%
14%
About typical
Preventive Care
healthier than 56%
13%
Mental Health
healthier than 49%
8%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Risk Behavior
healthier than 37%
11%
Disability
healthier than 36%
7%
Climate / Disaster Risk
healthier than 15%
5%
Healthcare Access
healthier than 12%
5%
Lifting this score
Social Need / SDOH
healthier than 76%
16%
Environmental Hazard
healthier than 88%
14%
Preventive Care
healthier than 94%
13%
Mental Health
healthier than 68%
8%
About typical
Chronic Disease Burden
healthier than 41%
21%
Risk Behavior
healthier than 47%
11%
Disability
healthier than 47%
7%
Holding it back
Climate / Disaster Risk
healthier than 35%
5%
Healthcare Access
healthier than 24%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
31620
Georgiashares a border
Score 37.70
Closest healthier
31632
Georgiashares a border
Score 55.21
Similar health profile
32668
Florida98% similar profile
Score 43.18
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 | 32.0% | 28.3–35.6 |
| High blood pressure among adults | 43.7% | 39.2–48.2 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.1–10.0 |
| Current asthma among adults | 10.7% | 9.4–12.0 |
| Coronary heart disease among adults | 8.4% | 7.4–9.5 |
| Chronic obstructive pulmonary disease among adults | 9.8% | 8.3–11.4 |
| Depression among adults | 20.7% | 17.4–24.1 |
| Diagnosed diabetes among adults | 16.8% | 14.6–19.1 |
| High cholesterol among adults who have ever been screened | 42.5% | 37.9–47.2 |
| Obesity among adults | 37.0% | 29.4–45.1 |
| Stroke among adults | 4.8% | 4.3–5.4 |
| All teeth lost among adults aged >=65 years | 19.7% | 16.2–23.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 14.4% | 11.7–17.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.2% | 78.4–83.7 |
| Visits to doctor for routine checkup within the past year among adults | 79.6% | 76.0–82.7 |
| Cholesterol screening among adults | 87.2% | 85.1–88.9 |
| Colorectal cancer screening among adults aged 45–75 years | 64.2% | 58.9–69.1 |
| Visited dentist or dental clinic in the past year among adults | 52.6% | 48.7–56.4 |
| Mammography use among women aged 50-74 years | 75.2% | 67.7–82.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.7% | 11.2–16.5 |
| Current cigarette smoking among adults | 18.2% | 15.2–21.4 |
| No leisure-time physical activity among adults | 31.8% | 26.8–37.2 |
| Short sleep duration among adults | 39.0% | 32.3–46.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.6% | 22.0–29.3 |
| Frequent mental distress among adults | 18.0% | 15.8–20.2 |
| Frequent physical distress among adults | 17.4% | 15.2–19.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.4% | 14.2–18.7 |
| Any disability among adults | 36.0% | 31.2–40.9 |
| Hearing disability among adults | 8.6% | 7.5–9.7 |
| Independent living disability among adults | 10.8% | 9.3–12.3 |
| Mobility disability among adults | 19.3% | 16.5–22.1 |
| Self-care disability among adults | 5.6% | 4.8–6.4 |
| Vision disability among adults | 6.9% | 6.0–7.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.6% | 21.0–28.4 |
| Food insecurity in the past 12 months among adults | 19.3% | 16.2–22.8 |
| Received food stamps in the past 12 months among adults | 16.2% | 13.5–19.3 |
| Housing insecurity in the past 12 months among adults | 15.0% | 12.8–17.5 |
| Lack of reliable transportation in the past 12 months among adults | 9.8% | 8.5–11.3 |
| Loneliness among adults | 36.6% | 31.3–42.0 |
| Utility services shut-off threat in the past 12 months among adults | 9.7% | 8.4–11.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.6% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 13.8% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 5.9% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 18.9% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 2.5% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 13.2% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 80.8% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 14.8% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 82.4% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 26.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 57.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $84,526 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $240,500 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | — | $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 | 73.7 yr ± 1.30 | 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 1.30 years of 73.7, 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