ZIP code
36502
in Atmore, AlabamaPopulation 15,558
29.43/ 100
Ranked #30,875 of 32,066 US ZIPs (bottom 3.8%)
Ranked #587 of 619 Alabama ZIPs (bottom 5.2%)
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.
Self-care disability
8.1%
in the top 2.6% nationally
Lower is healthier
ST91stUS97thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Independent-living disability
15.2%
in the top 2.4% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Short sleep
46.8%
in the top 1.5% nationally
Lower is healthier
ST92ndUS99thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Tooth loss
30%
in the top 3.2% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Fair or poor health
34.6%
in the top 3.0% nationally
Lower is healthier
ST93rdUS97thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Vision disability
10.5%
in the top 3.9% nationally
Lower is healthier
ST92ndUS96thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Diabetes
20.8%
in the top 2.7% nationally
Lower is healthier
ST85thUS97thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Stroke
6.3%
in the top 2.8% nationally
Lower is healthier
ST87thUS97thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Mobility disability
25.5%
in the top 2.9% nationally
Lower is healthier
ST88thUS97thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›High blood pressure
50.9%
in the top 2.6% nationally
Lower is healthier
ST80thUS97thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›The read
Atmore, Alabama (ZIP 36502), on the composite measure, lands in the bottom 3.8% nationally (30,875th) and the bottom 5.2% of Alabama (587th).
What the numbers press hardest on defines much of the story here: modeled self-care disability is in the top 2.6% nationally, independent living disability rests in the top 2.4% nationally, and short sleep sits in the top 1.5% nationally. Modeled tooth loss registers in the top 3.2% nationally, fair or poor health lands in the top 3.0% nationally, and vision disability resides in the top 3.9% nationally. Modeled diabetes lies in the top 2.7% nationally, and stroke settles in the top 2.8% nationally. Modeled mobility disability stands in the top 2.9% nationally, and high blood pressure is in the top 2.6% nationally.
A healthier neighbor overall sits at ZIP 32535, just across the boundary. Modeled tooth loss is in the top 3.2% nationally.
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 64%
14%
About typical
Healthcare Access
healthier than 53%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 17%
8%
Disability
healthier than 2%
7%
Climate / Disaster Risk
healthier than 33%
5%
Lifting this score
Climate / Disaster Risk
healthier than 62%
5%
About typical
Environmental Hazard
healthier than 51%
14%
Healthcare Access
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Social Need / SDOH
healthier than 14%
16%
Preventive Care
healthier than 7%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 6%
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
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 74.0 ± 1.7 years. A median household income of $44,360 predicts 76.9 years — 2.9 years below.
Ranked #3,969 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 63.9; chronic-disease standing 3.3 (bottom 10%) — 61 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,681 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
32535
Floridashares a border
Score 34.84
Closest healthier
32568
Floridashares a border
Score 48.58
Similar health profile
29728
South Carolina100% similar profile
Score 37.14
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 | 35.6% | 32.2–39.3 |
| High blood pressure among adults | 50.9% | 46.7–55.2 |
| 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 | 10.2% | 9.2–11.2 |
| Chronic obstructive pulmonary disease among adults | 12.6% | 11.4–13.9 |
| Depression among adults | 24.1% | 20.7–27.9 |
| Diagnosed diabetes among adults | 20.8% | 18.4–23.3 |
| High cholesterol among adults who have ever been screened | 43.3% | 39.0–47.8 |
| Obesity among adults | 45.9% | 38.1–53.9 |
| Stroke among adults | 6.3% | 5.8–6.8 |
| All teeth lost among adults aged >=65 years | 30.0% | 25.6–34.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.8% | 12.0–15.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.0% | 77.5–82.4 |
| Visits to doctor for routine checkup within the past year among adults | 81.2% | 78.0–84.3 |
| Cholesterol screening among adults | 83.4% | 81.4–85.3 |
| Colorectal cancer screening among adults aged 45–75 years | 61.6% | 56.5–66.5 |
| Visited dentist or dental clinic in the past year among adults | 42.8% | 39.1–46.6 |
| Mammography use among women aged 50-74 years | 69.1% | 60.8–76.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.0% | 9.8–14.6 |
| Current cigarette smoking among adults | 23.3% | 20.7–26.3 |
| No leisure-time physical activity among adults | 38.6% | 33.7–43.8 |
| Short sleep duration among adults | 46.8% | 40.2–53.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 34.6% | 31.4–38.2 |
| Frequent mental distress among adults | 20.4% | 18.3–22.8 |
| Frequent physical distress among adults | 19.4% | 17.3–21.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.5% | 19.4–23.9 |
| Any disability among adults | 46.7% | 42.1–51.5 |
| Hearing disability among adults | 10.5% | 9.4–11.7 |
| Independent living disability among adults | 15.2% | 13.9–16.8 |
| Mobility disability among adults | 25.5% | 23.0–28.3 |
| Self-care disability among adults | 8.1% | 7.5–8.8 |
| Vision disability among adults | 10.5% | 9.7–11.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.4% | 25.6–33.6 |
| Food insecurity in the past 12 months among adults | 33.8% | 30.5–37.3 |
| Received food stamps in the past 12 months among adults | 29.7% | 26.9–32.9 |
| Housing insecurity in the past 12 months among adults | 22.4% | 19.9–25.2 |
| Lack of reliable transportation in the past 12 months among adults | 16.7% | 15.0–18.5 |
| Loneliness among adults | 37.5% | 32.2–42.9 |
| Utility services shut-off threat in the past 12 months among adults | 17.3% | 15.3–19.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.0% | 10.6% (3.1–25.8%) n=32,364 | 15.4% (5.1–31.1%) n=623 |
| Uninsured 18–64 | 15.2% | 9.0% (1.5–24.3%) n=32,286 | 13.7% (5.2–25.2%) n=625 |
| No HS diploma (25+) | 15.8% | 7.9% (1.8–20.7%) n=32,505 | 13.2% (3.6–23.0%) n=626 |
| Bachelor's or higher (25+) | 11.5% | 23.3% (9.2–53.6%) n=32,505 | 16.9% (6.9–38.8%) n=626 |
| Unemployment rate (16+) | 12.2% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.0–11.0%) n=622 |
| Households without a vehicle | 7.2% | 3.9% (0.0–12.5%) n=32,322 | 4.0% (0.0–12.1%) n=622 |
| Broadband subscription | 78.6% | 89.3% (75.1–97.1%) n=32,322 | 84.9% (68.8–94.9%) n=622 |
| Housing cost burden (≥30% income) | 22.6% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (10.1–35.0%) n=622 |
| Homeownership rate | 64.2% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (54.7–92.5%) n=622 |
| Crowded housing (>1 per room) | 0.1% | 1.3% (0.0–6.3%) n=32,322 | 1.3% (0.0–4.2%) n=622 |
| Foreign-born population | 1.5% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–6.2%) n=628 |
| Single-parent households | 48.2% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (35.0–68.6%) n=617 |
| Population 65+ | 18.1% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.9–29.2%) n=628 |
| Median age | 41.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.3 yr (33.4–52.9) n=621 |
| Median household income | $44,360 | $72,070 ($46,039–$118,707) n=30,318 | $55,896 ($37,738–$88,230) n=587 |
| Median home value | $139,000 | $222,200 ($100,300–$579,820) n=30,049 | $160,950 ($87,300–$292,680) n=568 |
| Median gross rent | $782 | $1,021 ($677–$1,912) n=25,670 | $856 ($625–$1,266) n=503 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | AL median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 74.0 yr ± 0.86 | 78.9 yr (74.7–82.8) n=31,308 | 74.7 yr (72.1–78.3) n=599 |
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 74.0, 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