ZIP code
31046
in Juliette, GeorgiaPopulation 3,637
55.48/ 100
Ranked #8,895 of 32,066 US ZIPs (top 28%)
Ranked #142 of 711 Georgia ZIPs (top 20%)
Ranked #3 of 21 Macon-Bibb County, GA ZIPs (top 14.3%)
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.
Tree cover
70.5%
in the top 9.0% nationally
Higher is healthier
ST95thUS91stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Air-toxics cancer risk
35.3 per million
in the top 9.0% nationally
Lower is healthier
ST75thUS91stDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Humid extreme heat
132.6 days/year
in the top 9.3% nationally
Lower is healthier
ST69thUS91stDefinition & 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 ›Housing-cost burden
10.6%
in the bottom 10.1% nationally
Lower is healthier
ST6thUS10thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Loud transportation noise
1.6%
in the top 10.2% nationally
Lower is healthier
ST94thUS90thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Fiber broadband
94.9%
in the top 10.6% nationally
Higher is healthier
ST93rdUS89thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Mammography
79.1%
in the top 17% nationally
Higher is healthier
ST92ndUS83rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Colon-cancer screening
69.5%
in the top 24% nationally
Higher is healthier
ST92ndUS76thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Short sleep
33.6%
in the bottom 32% nationally
Lower is healthier
ST10thUS32ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›The read
By the composite health measure, Juliette, Georgia (ZIP 31046) ranks in the top 28% healthiest ZIPs nationally (8,895th) and the top 20% of Georgia (142nd).
The measures that set this area apart are worth putting up front: modeled tree cover settles in the top 9.0% nationally, and housing-cost burden resides in the bottom 10.1% nationally. Fiber broadband registers in the top 10.6% nationally. Outer-floodplain exposure rests at the national minimum, shared with about 36% of ZIPs. Modeled mammography stands in the top 17% nationally. Set against that, modeled air-toxics cancer risk lies in the top 9.0% nationally, humid heat lands in the top 9.3% nationally, and loud transportation noise sits in the top 10.2% nationally. Distance to a hazardous-chemical facility is at the national minimum, shared with about 31% of ZIPs. Recreation settles at the national minimum, shared with about 35% of ZIPs.
Read against the ZIPs closest to it, park land runs far higher than the surrounding ZIPs on this measure. To spell things out, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Close by, ZIP 31210, 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. Compare it against the US, this state and the Macon-Bibb County, GA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 79%
13%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 77%
8%
Disability
healthier than 63%
7%
About typical
Chronic Disease Burden
healthier than 55%
21%
Social Need / SDOH
healthier than 57%
16%
Environmental Hazard
healthier than 52%
14%
Healthcare Access
healthier than 57%
5%
Holding it back
Climate / Disaster Risk
healthier than 22%
5%
Lifting this score
Chronic Disease Burden
healthier than 64%
21%
Social Need / SDOH
healthier than 72%
16%
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 81%
8%
Disability
healthier than 77%
7%
About typical
Healthcare Access
healthier than 48%
5%
Holding it back
Environmental Hazard
healthier than 39%
14%
Climate / Disaster Risk
healthier than 22%
5%
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Social Need / SDOH
healthier than 90%
16%
Preventive Care
healthier than 90%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 85%
8%
Disability
healthier than 90%
7%
Holding it back
Environmental Hazard
healthier than 35%
14%
Climate / Disaster Risk
healthier than 25%
5%
Healthcare Access
healthier than 30%
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
31029
Georgiashares a border
Score 50.30
Closest healthier
31210
Georgiashares a border
Score 58.61
Similar health profile
11697
New York99% similar profile
Score 66.06
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% | 26.1–32.6 |
| High blood pressure among adults | 39.3% | 35.5–43.5 |
| Cancer (non-skin) or melanoma among adults | 9.6% | 8.7–10.4 |
| Current asthma among adults | 9.9% | 8.9–11.1 |
| Coronary heart disease among adults | 7.1% | 6.4–8.0 |
| Chronic obstructive pulmonary disease among adults | 7.2% | 6.3–8.3 |
| Depression among adults | 20.0% | 17.3–23.2 |
| Diagnosed diabetes among adults | 13.1% | 11.6–15.0 |
| High cholesterol among adults who have ever been screened | 40.7% | 36.6–44.8 |
| Obesity among adults | 33.6% | 26.9–40.8 |
| Stroke among adults | 3.8% | 3.4–4.2 |
| All teeth lost among adults aged >=65 years | 10.4% | 8.7–12.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.5% | 7.8–11.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.6% | 78.0–83.0 |
| Visits to doctor for routine checkup within the past year among adults | 80.0% | 76.8–83.0 |
| Cholesterol screening among adults | 89.0% | 87.4–90.5 |
| Colorectal cancer screening among adults aged 45–75 years | 69.5% | 64.9–73.5 |
| Visited dentist or dental clinic in the past year among adults | 63.9% | 60.6–67.0 |
| Mammography use among women aged 50-74 years | 79.1% | 72.2–84.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 12.2–17.5 |
| Current cigarette smoking among adults | 13.5% | 11.5–16.0 |
| No leisure-time physical activity among adults | 24.6% | 21.0–29.3 |
| Short sleep duration among adults | 33.6% | 27.7–39.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.5% | 16.2–21.4 |
| Frequent mental distress among adults | 15.9% | 14.1–18.0 |
| Frequent physical distress among adults | 13.8% | 12.2–15.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.0% | 11.4–14.9 |
| Any disability among adults | 29.3% | 25.6–33.8 |
| Hearing disability among adults | 7.5% | 6.7–8.5 |
| Independent living disability among adults | 7.9% | 7.0–9.0 |
| Mobility disability among adults | 14.2% | 12.4–16.4 |
| Self-care disability among adults | 3.8% | 3.4–4.3 |
| Vision disability among adults | 4.7% | 4.3–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.3% | 18.3–25.0 |
| Food insecurity in the past 12 months among adults | 12.2% | 10.4–14.3 |
| Received food stamps in the past 12 months among adults | 9.6% | 8.1–11.2 |
| Housing insecurity in the past 12 months among adults | 10.1% | 8.6–11.8 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 5.9–7.7 |
| Loneliness among adults | 34.2% | 29.5–39.3 |
| Utility services shut-off threat in the past 12 months among adults | 6.5% | 5.6–7.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.2% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 19.8% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 8.5% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 26.1% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 1.5% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 2.0% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 85.6% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 10.6% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 87.8% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 1.8% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 1.1% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 71.2% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 16.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 42.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $95,644 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $274,000 | $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 | 77.3 yr ± 0.86 | 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 0.86 years of 77.3, 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