ZIP code
35748
in Gurley, AlabamaPopulation 7,578
56.03/ 100
Ranked #8,251 of 32,066 US ZIPs (top 26%)
Ranked #53 of 619 Alabama ZIPs (top 8.6%)
Ranked #14 of 31 Huntsville, AL ZIPs (top 45%)
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.
Grocery access
0.26 per 1,000 residents
in the top 4.7% nationally
Higher is healthier
ST96thUS95thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Arsenic in groundwater
1.2%
in the bottom 6.8% nationally
Lower is healthier
ST42ndUS7thDefinition & 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 ›PFAS in drinking water
55.5%
in the top 10.2% nationally
Lower is healthier
ST93rdUS90thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Energy-cost burden
1.9%
in the bottom 11.9% nationally
Lower is healthier
ST5thUS12thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Home broadband subscription
96%
in the top 14.5% nationally
Higher is healthier
ST92ndUS86thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Housing insecurity
8.4%
in the bottom 21% nationally
Lower is healthier
ST4thUS21stDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Median household income
$103,563
in the top 17% nationally
Higher is healthier
ST95thUS83rdDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Utility shut-off threat
5.6%
in the bottom 23% nationally
Lower is healthier
ST4thUS23rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Vision disability
4.2%
in the bottom 25% nationally
Lower is healthier
ST8thUS25thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Lack of transportation
6.2%
in the bottom 26% nationally
Lower is healthier
ST5thUS26thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
By its overall health score, Gurley, Alabama (ZIP 35748) lands in the top 26% healthiest ZIPs nationally (8,251st) and the top 8.6% of Alabama (53rd).
Taken together, the profile's clearest strengths surface right away: grocery resides in the top 4.7% nationally, and modeled arsenic lands in the bottom 6.8% nationally. Modeled energy burden registers in the bottom 11.9% nationally, and home broadband subscription sits in the top 14.5% nationally. Modeled colon screening rests in the top 16% nationally, and homeownership is in the top 18% nationally. Against that, modeled pfas stands in the top 10.2% nationally. Recreation settles at the national minimum, shared with about 35% of ZIPs. Modeled humid heat lies in the top 18% nationally, and high cholesterol resides in the top 16% nationally.
Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Energy burden is the share of household income that goes to home energy bills. Overall, the nearest healthier neighbor is ZIP 35741, 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 Huntsville, AL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 85%
16%
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 72%
11%
Mental Health
healthier than 67%
8%
Disability
healthier than 68%
7%
About typical
Chronic Disease Burden
healthier than 54%
21%
Healthcare Access
healthier than 51%
5%
Holding it back
Environmental Hazard
healthier than 32%
14%
Climate / Disaster Risk
healthier than 30%
5%
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Social Need / SDOH
healthier than 95%
16%
Preventive Care
healthier than 91%
13%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 91%
7%
About typical
Climate / Disaster Risk
healthier than 55%
5%
Healthcare Access
healthier than 53%
5%
Holding it back
Environmental Hazard
healthier than 23%
14%
Lifting this score
Social Need / SDOH
healthier than 67%
16%
Preventive Care
healthier than 70%
13%
Risk Behavior
healthier than 63%
11%
Mental Health
healthier than 63%
8%
About typical
Chronic Disease Burden
healthier than 40%
21%
Environmental Hazard
healthier than 50%
14%
Disability
healthier than 53%
7%
Holding it back
Climate / Disaster Risk
healthier than 33%
5%
Healthcare Access
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 77.1 ± 2.0 years. A median household income of $103,563 predicts 80.2 years — 3.1 years below.
Ranked #4,276 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
35741
Alabamashares a border
Score 62.17
Closest healthier
35763
Alabamashares a border
Score 63.98
Similar health profile
66614
Kansas99% similar profile
Score 58.69
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 | 31.2% | 27.9–34.2 |
| High blood pressure among adults | 39.6% | 35.8–43.2 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.5–10.3 |
| Current asthma among adults | 9.4% | 8.3–10.6 |
| Coronary heart disease among adults | 6.6% | 5.9–7.3 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 5.9–7.7 |
| Depression among adults | 22.8% | 19.7–26.0 |
| Diagnosed diabetes among adults | 12.2% | 10.7–13.9 |
| High cholesterol among adults who have ever been screened | 42.0% | 38.1–45.8 |
| Obesity among adults | 38.6% | 32.9–44.1 |
| Stroke among adults | 3.3% | 3.1–3.6 |
| All teeth lost among adults aged >=65 years | 11.9% | 9.7–14.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 5.9–8.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.2% | 74.2–80.0 |
| Visits to doctor for routine checkup within the past year among adults | 80.5% | 77.5–83.4 |
| Cholesterol screening among adults | 88.7% | 87.1–90.2 |
| Colorectal cancer screening among adults aged 45–75 years | 70.9% | 66.4–75.2 |
| Visited dentist or dental clinic in the past year among adults | 64.0% | 60.5–67.4 |
| Mammography use among women aged 50-74 years | 78.4% | 72.0–84.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.5–17.8 |
| Current cigarette smoking among adults | 12.9% | 11.0–15.0 |
| No leisure-time physical activity among adults | 22.2% | 18.8–25.8 |
| Short sleep duration among adults | 36.2% | 31.3–41.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.8% | 15.5–20.2 |
| Frequent mental distress among adults | 15.1% | 13.3–16.9 |
| Frequent physical distress among adults | 12.8% | 11.3–14.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.2% | 11.5–14.9 |
| Any disability among adults | 30.7% | 27.0–34.5 |
| Hearing disability among adults | 7.9% | 7.0–8.8 |
| Independent living disability among adults | 7.4% | 6.6–8.3 |
| Mobility disability among adults | 13.8% | 12.0–15.7 |
| Self-care disability among adults | 3.4% | 3.0–3.8 |
| Vision disability among adults | 4.2% | 3.8–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.7% | 18.7–25.0 |
| Food insecurity in the past 12 months among adults | 10.7% | 9.0–12.5 |
| Received food stamps in the past 12 months among adults | 7.0% | 5.8–8.2 |
| Housing insecurity in the past 12 months among adults | 8.4% | 7.1–9.8 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.4–7.1 |
| Loneliness among adults | 33.0% | 28.8–37.6 |
| Utility services shut-off threat in the past 12 months among adults | 5.6% | 4.8–6.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.8% | 10.6% (3.1–25.8%) n=32,364 | 15.4% (5.1–31.1%) n=623 |
| Uninsured 18–64 | 8.0% | 9.0% (1.5–24.3%) n=32,286 | 13.7% (5.2–25.2%) n=625 |
| No HS diploma (25+) | 11.7% | 7.9% (1.8–20.7%) n=32,505 | 13.2% (3.6–23.0%) n=626 |
| Bachelor's or higher (25+) | 45.4% | 23.3% (9.2–53.6%) n=32,505 | 16.9% (6.9–38.8%) n=626 |
| Unemployment rate (16+) | 3.3% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.0–11.0%) n=622 |
| Households without a vehicle | 2.1% | 3.9% (0.0–12.5%) n=32,322 | 4.0% (0.0–12.1%) n=622 |
| Broadband subscription | 96.0% | 89.3% (75.1–97.1%) n=32,322 | 84.9% (68.8–94.9%) n=622 |
| Housing cost burden (≥30% income) | 21.9% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (10.1–35.0%) n=622 |
| Homeownership rate | 89.8% | 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 | 1.8% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–6.2%) n=628 |
| Single-parent households | 63.5% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (35.0–68.6%) n=617 |
| Population 65+ | 20.9% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.9–29.2%) n=628 |
| Median age | 45.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.3 yr (33.4–52.9) n=621 |
| Median household income | $103,563 | $72,070 ($46,039–$118,707) n=30,318 | $55,896 ($37,738–$88,230) n=587 |
| Median home value | $356,300 | $222,200 ($100,300–$579,820) n=30,049 | $160,950 ($87,300–$292,680) n=568 |
| Median gross rent | $847 | $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 | 77.1 yr ± 1.03 | 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 1.03 years of 77.1, 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