ZIP code
39823
in Blakely, GeorgiaPopulation 9,012
38.85/ 100
Ranked #27,511 of 32,066 US ZIPs (bottom 14.3%)
Ranked #592 of 711 Georgia ZIPs (bottom 17%)
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
1.0%
in the bottom 2.4% nationally
Lower is healthier
ST11thUS2ndDefinition & 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 ›Diabetes
18.9%
in the top 5.8% nationally
Lower is healthier
ST86thUS94thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Loneliness
39.5%
in the top 5.1% nationally
Lower is healthier
ST80thUS95thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Self-care disability
6.8%
in the top 6.8% nationally
Lower is healthier
ST85thUS93rdDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Humid extreme heat
146.5 days/year
in the top 5.6% nationally
Lower is healthier
ST92ndUS94thDefinition & 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 ›Short sleep
43.1%
in the top 6.3% nationally
Lower is healthier
ST87thUS94thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Home broadband subscription
69.7%
in the bottom 6.0% nationally
Higher is healthier
ST7thUS6thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Binge drinking
11.6%
in the bottom 4.9% nationally
Lower is healthier
ST9thUS5thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Pharmacy access
0.45 per 1,000 residents
in the top 6.3% nationally
Higher is healthier
ST94thUS94thDefinition & 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 ›Stroke
5.6%
in the top 6.9% nationally
Lower is healthier
ST87thUS93rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›The read
By the composite measure, Blakely, Georgia (ZIP 39823) sits in the bottom 14.3% nationally (27,511th) and the bottom 17% of Georgia (592nd).
The readings split fairly evenly between strengths and concerns: modeled arsenic rests in the bottom 2.4% nationally. Distance to an emergency room sits at the national minimum, shared with about 11% of ZIPs. Modeled binge drinking registers in the bottom 4.9% nationally, and pharmacy lands in the top 6.3% nationally. Working the other way, modeled diabetes resides in the top 5.8% nationally, and loneliness lies in the top 5.1% nationally. Modeled self-care disability settles in the top 6.8% nationally, and humid heat stands in the top 5.6% nationally. Modeled short sleep is in the top 6.3% nationally, and home broadband subscription rests in the bottom 6.0% nationally.
In plain language, 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 36319, just across the boundary, ranks 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 61%
14%
Healthcare Access
in the top 0.00%
5%
About typical
Mental Health
healthier than 51%
8%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 32%
13%
Risk Behavior
healthier than 16%
11%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 22%
5%
Lifting this score
Healthcare Access
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 46%
14%
Preventive Care
healthier than 47%
13%
Mental Health
healthier than 42%
8%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 10%
16%
Risk Behavior
healthier than 18%
11%
Disability
healthier than 15%
7%
Climate / Disaster Risk
healthier than 20%
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
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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 73.6 ± 1.6 years. A median household income of $55,441 predicts 77.8 years — 4.2 years below.
Ranked #5,157 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
36319
Alabamashares a border
Score 45.03
Closest healthier
36343
Alabamashares a border
Score 39.95
Similar health profile
31211
Georgia99% similar profile
Score 39.90
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 | 32.7% | 29.2–36.2 |
| High blood pressure among adults | 47.3% | 42.9–51.8 |
| Cancer (non-skin) or melanoma among adults | 7.9% | 7.2–8.7 |
| Current asthma among adults | 11.6% | 10.3–13.1 |
| Coronary heart disease among adults | 8.8% | 7.9–9.7 |
| Chronic obstructive pulmonary disease among adults | 10.2% | 9.2–11.4 |
| Depression among adults | 19.9% | 16.8–23.3 |
| Diagnosed diabetes among adults | 18.9% | 16.7–21.3 |
| High cholesterol among adults who have ever been screened | 40.2% | 35.8–44.9 |
| Obesity among adults | 40.7% | 32.4–49.6 |
| Stroke among adults | 5.6% | 5.2–6.1 |
| All teeth lost among adults aged >=65 years | 21.9% | 18.3–25.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.2% | 13.0–17.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.5% | 79.1–83.7 |
| Visits to doctor for routine checkup within the past year among adults | 81.1% | 77.8–84.1 |
| Cholesterol screening among adults | 86.5% | 84.7–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 63.1% | 57.8–68.3 |
| Visited dentist or dental clinic in the past year among adults | 48.1% | 44.4–51.9 |
| Mammography use among women aged 50-74 years | 74.9% | 67.2–81.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.6% | 9.5–14.2 |
| Current cigarette smoking among adults | 18.8% | 16.5–21.5 |
| No leisure-time physical activity among adults | 35.8% | 30.9–41.2 |
| Short sleep duration among adults | 43.1% | 36.1–50.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.8% | 25.8–32.2 |
| Frequent mental distress among adults | 19.0% | 16.9–21.2 |
| Frequent physical distress among adults | 17.7% | 15.8–19.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.9% | 16.0–20.0 |
| Any disability among adults | 39.6% | 35.1–44.4 |
| Hearing disability among adults | 8.2% | 7.3–9.1 |
| Independent living disability among adults | 12.7% | 11.4–14.1 |
| Mobility disability among adults | 21.7% | 19.3–24.2 |
| Self-care disability among adults | 6.8% | 6.2–7.4 |
| Vision disability among adults | 8.6% | 7.9–9.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.8% | 24.0–31.7 |
| Food insecurity in the past 12 months among adults | 27.0% | 23.7–30.5 |
| Received food stamps in the past 12 months among adults | 24.9% | 21.9–28.1 |
| Housing insecurity in the past 12 months among adults | 20.6% | 18.1–23.4 |
| Lack of reliable transportation in the past 12 months among adults | 13.6% | 12.1–15.3 |
| Loneliness among adults | 39.5% | 34.2–45.1 |
| Utility services shut-off threat in the past 12 months among adults | 14.3% | 12.5–16.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 24.9% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 24.9% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 18.2% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 14.3% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 7.3% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 9.4% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 69.7% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 27.9% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 62.9% | 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 | 0.2% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 39.0% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 18.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 40.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $55,441 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $151,200 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $800 | $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 | 73.6 yr ± 0.80 | 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 0.80 years of 73.6, 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