ZIP code
35023
in Hueytown, AlabamaPopulation 25,533
44.80/ 100
Ranked #22,613 of 32,066 US ZIPs (bottom 29%)
Ranked #255 of 619 Alabama ZIPs (top 41%)
Ranked #67 of 116 Birmingham, AL ZIPs (bottom 42%)
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.
Industrial-pollution burden
in the top 6.7% nationally
Lower is healthier
ST92ndUS93rdDefinition & 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 ›Loneliness
38.6%
in the top 7.0% nationally
Lower is healthier
ST87thUS93rdDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Air-toxics cancer risk
38.8 per million
in the top 7.6% nationally
Lower is healthier
ST83rdUS92ndDefinition & 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 ›Mammography
81.5%
in the top 5.2% nationally
Higher is healthier
ST93rdUS95thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Expected annual disaster loss
$0
in the top 11.2% nationally
Lower is healthier
ST90thUS89thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›The read
Judged by its overall standing, Hueytown, Alabama (ZIP 35023) sits in the bottom 29% nationally (22,613th) and the top 41% of Alabama (255th).
A few readings each way define this mixed profile: modeled mammography stands in the top 5.2% nationally, lithium in drinking water resides in the bottom 10.2% nationally, and pharmacy sits in the top 10.6% nationally. Distance to a nursing home stands at the national minimum, shared with about 27% of ZIPs. Modeled tree cover resides in the top 14.3% nationally. Pulling the other way, modeled industrial-pollution burden sits in the top 6.7% nationally, and loneliness stands in the top 7.0% nationally. Modeled air-toxics cancer risk resides in the top 7.6% nationally, and humid heat sits in the top 10.3% nationally. Modeled expected annual loss stands in the top 11.2% nationally.
Put plainly, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. A healthier nearby ZIP overall is ZIP 35006, just across the boundary.
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 Birmingham, AL 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 64%
13%
Healthcare Access
healthier than 73%
5%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Social Need / SDOH
healthier than 19%
16%
Environmental Hazard
healthier than 23%
14%
Risk Behavior
healthier than 29%
11%
Mental Health
healthier than 33%
8%
Disability
healthier than 22%
7%
Climate / Disaster Risk
healthier than 33%
5%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Preventive Care
healthier than 75%
13%
Climate / Disaster Risk
healthier than 63%
5%
Healthcare Access
healthier than 79%
5%
About typical
Risk Behavior
healthier than 53%
11%
Mental Health
healthier than 47%
8%
Disability
healthier than 54%
7%
Holding it back
Social Need / SDOH
healthier than 36%
16%
Environmental Hazard
healthier than 14%
14%
Lifting this score
Preventive Care
healthier than 61%
13%
Healthcare Access
healthier than 69%
5%
About typical
Chronic Disease Burden
healthier than 45%
21%
Mental Health
healthier than 51%
8%
Holding it back
Social Need / SDOH
healthier than 31%
16%
Environmental Hazard
healthier than 29%
14%
Risk Behavior
healthier than 36%
11%
Disability
healthier than 35%
7%
Climate / Disaster Risk
healthier than 28%
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
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 73.4 ± 1.3 years. A median household income of $69,863 predicts 78.7 years — 5.3 years below.
Ranked #5,614 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 38.8 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 73.4 ± 1.3 years.
Ranked #1,644 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
35006
Alabamashares a border
Score 48.95
Closest healthier
35022
Alabamashares a border
Score 56.04
Similar health profile
71247
Louisiana95% similar profile
Score 37.62
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 | 30.5% | 27.7–33.3 |
| High blood pressure among adults | 44.7% | 41.3–48.0 |
| Cancer (non-skin) or melanoma among adults | 8.2% | 7.5–9.0 |
| Current asthma among adults | 10.0% | 8.9–11.3 |
| Coronary heart disease among adults | 7.9% | 7.1–8.7 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 8.0–10.0 |
| Depression among adults | 24.0% | 21.2–27.2 |
| Diagnosed diabetes among adults | 16.0% | 14.2–17.9 |
| High cholesterol among adults who have ever been screened | 41.5% | 38.2–44.9 |
| Obesity among adults | 38.7% | 34.3–43.3 |
| Stroke among adults | 4.6% | 4.2–4.9 |
| All teeth lost among adults aged >=65 years | 16.6% | 13.7–19.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.9% | 9.4–12.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.9% | 75.2–80.4 |
| Visits to doctor for routine checkup within the past year among adults | 80.2% | 77.3–83.0 |
| Cholesterol screening among adults | 85.5% | 83.7–87.2 |
| Colorectal cancer screening among adults aged 45–75 years | 70.0% | 66.0–73.7 |
| Visited dentist or dental clinic in the past year among adults | 56.7% | 52.9–60.3 |
| Mammography use among women aged 50-74 years | 81.5% | 76.3–86.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.8% | 12.5–17.4 |
| Current cigarette smoking among adults | 17.5% | 15.4–19.9 |
| No leisure-time physical activity among adults | 31.3% | 27.8–35.0 |
| Short sleep duration among adults | 37.5% | 33.4–41.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.2% | 21.7–26.8 |
| Frequent mental distress among adults | 18.1% | 16.2–20.1 |
| Frequent physical distress among adults | 14.7% | 13.1–16.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.6% | 15.8–19.6 |
| Any disability among adults | 39.3% | 35.8–43.0 |
| Hearing disability among adults | 8.7% | 7.7–9.7 |
| Independent living disability among adults | 10.8% | 9.7–12.0 |
| Mobility disability among adults | 18.9% | 16.9–20.9 |
| Self-care disability among adults | 5.3% | 4.8–5.8 |
| Vision disability among adults | 6.7% | 6.1–7.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.4% | 22.5–28.6 |
| Food insecurity in the past 12 months among adults | 22.7% | 20.5–25.2 |
| Received food stamps in the past 12 months among adults | 17.6% | 15.5–19.7 |
| Housing insecurity in the past 12 months among adults | 16.3% | 14.5–18.4 |
| Lack of reliable transportation in the past 12 months among adults | 11.3% | 10.1–12.6 |
| Loneliness among adults | 38.6% | 34.9–42.6 |
| Utility services shut-off threat in the past 12 months among adults | 11.8% | 10.5–13.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.5% | 10.6% (3.1–25.8%) n=32,364 | 15.4% (5.1–31.1%) n=623 |
| Uninsured 18–64 | 15.7% | 9.0% (1.5–24.3%) n=32,286 | 13.7% (5.2–25.2%) n=625 |
| No HS diploma (25+) | 12.5% | 7.9% (1.8–20.7%) n=32,505 | 13.2% (3.6–23.0%) n=626 |
| Bachelor's or higher (25+) | 17.3% | 23.3% (9.2–53.6%) n=32,505 | 16.9% (6.9–38.8%) n=626 |
| Unemployment rate (16+) | 6.4% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.0–11.0%) n=622 |
| Households without a vehicle | 2.3% | 3.9% (0.0–12.5%) n=32,322 | 4.0% (0.0–12.1%) n=622 |
| Broadband subscription | 92.2% | 89.3% (75.1–97.1%) n=32,322 | 84.9% (68.8–94.9%) n=622 |
| Housing cost burden (≥30% income) | 22.8% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (10.1–35.0%) n=622 |
| Homeownership rate | 84.9% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (54.7–92.5%) n=622 |
| Crowded housing (>1 per room) | 1.5% | 1.3% (0.0–6.3%) n=32,322 | 1.3% (0.0–4.2%) n=622 |
| Foreign-born population | 3.4% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–6.2%) n=628 |
| Single-parent households | 47.9% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (35.0–68.6%) n=617 |
| Population 65+ | 18.6% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.9–29.2%) n=628 |
| Median age | 40.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.3 yr (33.4–52.9) n=621 |
| Median household income | $69,863 | $72,070 ($46,039–$118,707) n=30,318 | $55,896 ($37,738–$88,230) n=587 |
| Median home value | $161,800 | $222,200 ($100,300–$579,820) n=30,049 | $160,950 ($87,300–$292,680) n=568 |
| Median gross rent | $1,266 | $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 | 73.3 yr ± 0.64 | 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 0.64 years of 73.3, 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