ZIP code
36832
in Auburn, AlabamaPopulation 30,959
48.10/ 100
Ranked #18,802 of 32,066 US ZIPs (bottom 41%)
Ranked #156 of 619 Alabama ZIPs (top 25%)
Ranked #7 of 15 Auburn-Opelika, AL ZIPs (top 47%)
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.
High cholesterol
28.5%
in the bottom 2.3% nationally
Lower is healthier
ST2ndUS2ndDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Coronary heart disease
3.6%
in the bottom 2.3% nationally
Lower is healthier
ST2ndUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Poverty rate
34.2%
in the top 4.8% nationally
Lower is healthier
ST93rdUS95thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Cognitive disability
21.1%
in the top 5.8% nationally
Lower is healthier
ST93rdUS94thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Lack of transportation
15.4%
in the top 5.8% nationally
Lower is healthier
ST86thUS94thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Stroke
2.2%
in the bottom 3.5% nationally
Lower is healthier
ST2ndUS3rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Loneliness
38.7%
in the top 6.8% nationally
Lower is healthier
ST87thUS93rdDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Housing-cost burden
42.9%
in the top 7.1% nationally
Lower is healthier
ST97thUS93rdDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Air-toxics cancer risk
39.1 per million
in the top 7.3% nationally
Lower is healthier
ST84thUS93rdDefinition & 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 ›Industrial-pollution burden
in the top 8.6% nationally
Lower is healthier
ST87thUS91stDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›The read
In its overall standing, ZIP 36832, one of several in Auburn, Alabama lands in the bottom 41% nationally (18,802nd) and the top 25% of Alabama (156th).
This area's measures are easy to read as a mixed set: modeled high cholesterol registers in the bottom 2.3% nationally, coronary heart disease resides in the bottom 2.3% nationally, and stroke settles in the bottom 3.5% nationally. Set against that, poverty is in the top 4.8% nationally, modeled cognitive disability sits in the top 5.8% nationally, and modeled transportation lands in the top 5.8% nationally. Modeled loneliness lies in the top 6.8% nationally, and housing-cost burden stands in the top 7.1% nationally. Modeled air-toxics cancer risk rests in the top 7.3% nationally, and industrial-pollution burden registers in the top 8.6% nationally.
Against the wider neighborhood, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. Put simply, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. On the overall standing, ZIP 36830, just across the boundary, ranks healthier.
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 Auburn-Opelika, AL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 94%
21%
About typical
Environmental Hazard
healthier than 48%
14%
Risk Behavior
healthier than 47%
11%
Disability
healthier than 44%
7%
Holding it back
Social Need / SDOH
healthier than 6%
16%
Preventive Care
healthier than 9%
13%
Mental Health
healthier than 6%
8%
Climate / Disaster Risk
healthier than 35%
5%
Healthcare Access
healthier than 31%
5%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Risk Behavior
healthier than 77%
11%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 68%
5%
Holding it back
Social Need / SDOH
healthier than 16%
16%
Environmental Hazard
healthier than 36%
14%
Preventive Care
healthier than 3%
13%
Mental Health
healthier than 1%
8%
Healthcare Access
healthier than 28%
5%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Risk Behavior
healthier than 64%
11%
Disability
healthier than 71%
7%
Climate / Disaster Risk
healthier than 79%
5%
Holding it back
Social Need / SDOH
healthier than 29%
16%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 7%
13%
Mental Health
healthier than 7%
8%
Healthcare Access
healthier than 36%
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
36830
Alabamashares a border
Score 58.07
Closest healthier
36879
Alabamashares a border
Score 59.30
Similar health profile
36082
Alabama99% similar profile
Score 46.23
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 | 16.2% | 14.2–18.3 |
| High blood pressure among adults | 29.6% | 26.2–33.2 |
| Cancer (non-skin) or melanoma among adults | 3.5% | 3.2–3.9 |
| Current asthma among adults | 10.6% | 9.3–11.9 |
| Coronary heart disease among adults | 3.6% | 3.2–4.0 |
| Chronic obstructive pulmonary disease among adults | 5.1% | 4.5–5.6 |
| Depression among adults | 26.6% | 23.0–30.4 |
| Diagnosed diabetes among adults | 8.7% | 7.6–9.8 |
| High cholesterol among adults who have ever been screened | 28.5% | 25.2–31.9 |
| Obesity among adults | 37.7% | 31.6–44.0 |
| Stroke among adults | 2.2% | 2.0–2.4 |
| All teeth lost among adults aged >=65 years | 12.8% | 10.6–15.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.6% | 9.1–12.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 60.2% | 57.5–63.0 |
| Visits to doctor for routine checkup within the past year among adults | 75.2% | 71.3–78.9 |
| Cholesterol screening among adults | 73.1% | 70.1–76.0 |
| Colorectal cancer screening among adults aged 45–75 years | 66.2% | 61.5–70.7 |
| Visited dentist or dental clinic in the past year among adults | 52.2% | 48.5–55.9 |
| Mammography use among women aged 50-74 years | 78.7% | 72.0–84.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.7% | 13.7–19.9 |
| Current cigarette smoking among adults | 12.9% | 11.1–14.8 |
| No leisure-time physical activity among adults | 25.9% | 22.0–29.9 |
| Short sleep duration among adults | 38.2% | 32.3–44.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.1% | 18.7–23.7 |
| Frequent mental distress among adults | 22.1% | 19.7–24.6 |
| Frequent physical distress among adults | 11.6% | 10.2–13.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.1% | 18.9–23.5 |
| Any disability among adults | 35.7% | 31.6–40.0 |
| Hearing disability among adults | 5.1% | 4.5–5.7 |
| Independent living disability among adults | 11.6% | 10.4–12.9 |
| Mobility disability among adults | 10.1% | 8.8–11.5 |
| Self-care disability among adults | 3.5% | 3.2–3.8 |
| Vision disability among adults | 6.2% | 5.7–6.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.8% | 21.3–28.3 |
| Food insecurity in the past 12 months among adults | 25.6% | 22.6–28.6 |
| Received food stamps in the past 12 months among adults | 20.0% | 17.3–22.6 |
| Housing insecurity in the past 12 months among adults | 16.9% | 14.8–19.1 |
| Lack of reliable transportation in the past 12 months among adults | 15.4% | 13.7–17.2 |
| Loneliness among adults | 38.7% | 33.6–43.8 |
| Utility services shut-off threat in the past 12 months among adults | 12.7% | 11.2–14.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 34.2% | 10.6% (3.1–25.8%) n=32,364 | 15.4% (5.1–31.1%) n=623 |
| Uninsured 18–64 | 12.0% | 9.0% (1.5–24.3%) n=32,286 | 13.7% (5.2–25.2%) n=625 |
| No HS diploma (25+) | 5.2% | 7.9% (1.8–20.7%) n=32,505 | 13.2% (3.6–23.0%) n=626 |
| Bachelor's or higher (25+) | 49.8% | 23.3% (9.2–53.6%) n=32,505 | 16.9% (6.9–38.8%) n=626 |
| Unemployment rate (16+) | 3.6% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.0–11.0%) n=622 |
| Households without a vehicle | 3.1% | 3.9% (0.0–12.5%) n=32,322 | 4.0% (0.0–12.1%) n=622 |
| Broadband subscription | 85.7% | 89.3% (75.1–97.1%) n=32,322 | 84.9% (68.8–94.9%) n=622 |
| Housing cost burden (≥30% income) | 42.9% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (10.1–35.0%) n=622 |
| Homeownership rate | 50.6% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (54.7–92.5%) n=622 |
| Crowded housing (>1 per room) | 1.9% | 1.3% (0.0–6.3%) n=32,322 | 1.3% (0.0–4.2%) n=622 |
| Foreign-born population | 9.5% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–6.2%) n=628 |
| Single-parent households | 32.7% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (35.0–68.6%) n=617 |
| Population 65+ | 6.2% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.9–29.2%) n=628 |
| Median age | 23.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.3 yr (33.4–52.9) n=621 |
| Median household income | $42,717 | $72,070 ($46,039–$118,707) n=30,318 | $55,896 ($37,738–$88,230) n=587 |
| Median home value | $263,900 | $222,200 ($100,300–$579,820) n=30,049 | $160,950 ($87,300–$292,680) n=568 |
| Median gross rent | $1,084 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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