Skip to main content
ZipVitals

ZIP code

35976

in Guntersville, AlabamaPopulation 16,794

46.26/ 100

Ranked #21,029 of 32,066 US ZIPs (bottom 34%)

Ranked #203 of 619 Alabama ZIPs (top 33%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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

44.9%

in the top 4.6% nationally

Lower is healthier

ST82nd
US95th
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

Physician access

2 per 1,000 residents

in the top 7.5% nationally

Higher is healthier

ST93rd
US93rd
Definition & source ›

The number of physicians’ offices located 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.

Full methodology ›

Expected annual disaster loss

$0

in the top 7.7% nationally

Lower is healthier

ST95th
US92nd
Definition & 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 ›

Grocery access

0.18 per 1,000 residents

in the top 8.8% nationally

Higher is healthier

ST89th
US91st
Definition & 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 ›

Subsidized affordable housing

188 units

in the top 12.4% nationally

Higher is healthier

ST90th
US88th
Definition & source ›

The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.

Full methodology ›

Natural-disaster risk

in the top 16% nationally

Lower is healthier

ST92nd
US84th
Definition & source ›

This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.

Full methodology ›

Dental provider access

0.6 per 1,000 residents

in the top 18% nationally

Higher is healthier

ST90th
US82nd
Definition & source ›

The number of dental offices located 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.

Full methodology ›

Humid extreme heat

105.5 days/year

in the top 20% nationally

Lower is healthier

ST9th
US80th
Definition & 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 ›

The read

Guntersville, Alabama (ZIP 35976), by its composite score, sits in the bottom 34% nationally (21,029th) and the top 33% of Alabama (203rd).

continue reading

The data opens on a genuinely even set of readings: physicians stands in the top 7.5% nationally, and grocery registers in the top 8.8% nationally. Subsidized affordable housing settles in the top 12.4% nationally. Distance to a nursing home sits at the national minimum, shared with about 27% of ZIPs. On the other side, modeled high cholesterol lies in the top 4.6% nationally, modeled expected annual loss rests in the top 7.7% nationally, and floodplain exposure resides in the top 11.9% nationally. Fatal road crashes is in the top 12.1% nationally, modeled pfas lands in the top 14.5% nationally, and modeled high blood pressure stands in the top 13.6% nationally.

For anyone unfamiliar, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. 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. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". For a healthier comparison close by, see ZIP 35031, 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.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Social Need / SDOH

healthier than 73%

16%

About typical

Preventive Care

healthier than 57%

13%

Risk Behavior

healthier than 45%

11%

Healthcare Access

healthier than 51%

5%

Holding it back

Chronic Disease Burden

healthier than 24%

21%

Environmental Hazard

healthier than 24%

14%

Mental Health

healthier than 39%

8%

Disability

healthier than 28%

7%

Climate / Disaster Risk

healthier than 20%

5%

Lifting this score

Social Need / SDOH

healthier than 90%

16%

Preventive Care

healthier than 65%

13%

Risk Behavior

healthier than 74%

11%

Mental Health

healthier than 60%

8%

Disability

healthier than 67%

7%

About typical

Chronic Disease Burden

healthier than 58%

21%

Healthcare Access

healthier than 54%

5%

Holding it back

Environmental Hazard

healthier than 16%

14%

Climate / Disaster Risk

healthier than 23%

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 74.3 ± 0.8 years. A median household income of $72,643 predicts 78.8 years — 4.5 years below.

    Ranked #5,334 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.

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
MeasureCrude prevalence95% CI
Arthritis among adults34.1%30.6–37.7
High blood pressure among adults44.6%40.3–48.9
Cancer (non-skin) or melanoma among adults10.7%9.7–11.7
Current asthma among adults10.0%8.8–11.3
Coronary heart disease among adults8.5%7.7–9.5
Chronic obstructive pulmonary disease among adults9.4%8.3–10.5
Depression among adults24.9%21.3–28.8
Diagnosed diabetes among adults15.2%13.3–17.4
High cholesterol among adults who have ever been screened44.9%40.4–49.3
Obesity among adults36.6%29.4–44.0
Stroke among adults4.3%4.0–4.7
All teeth lost among adults aged >=65 years13.8%11.3–16.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years9.7%8.3–11.3
Taking medicine to control high blood pressure among adults with high blood pressure80.4%77.6–82.9
Visits to doctor for routine checkup within the past year among adults80.5%77.1–83.6
Cholesterol screening among adults87.2%85.6–88.9
Colorectal cancer screening among adults aged 45–75 years67.4%62.3–72.0
Visited dentist or dental clinic in the past year among adults59.0%55.1–62.8
Mammography use among women aged 50-74 years74.2%66.4–81.0
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults13.8%11.3–16.6
Current cigarette smoking among adults15.7%13.5–18.1
No leisure-time physical activity among adults29.4%25.0–34.1
Short sleep duration among adults38.3%31.9–45.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults23.6%20.8–26.6
Frequent mental distress among adults16.7%14.7–18.9
Frequent physical distress among adults15.3%13.5–17.2
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults15.9%14.1–17.9
Any disability among adults38.8%34.3–43.3
Hearing disability among adults10.0%8.9–11.2
Independent living disability among adults9.8%8.7–10.9
Mobility disability among adults18.5%16.3–20.8
Self-care disability among adults4.6%4.2–5.0
Vision disability among adults5.8%5.2–6.3
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults22.9%19.6–26.6
Food insecurity in the past 12 months among adults15.7%13.5–18.3
Received food stamps in the past 12 months among adults11.1%9.4–13.1
Housing insecurity in the past 12 months among adults10.8%9.3–12.6
Lack of reliable transportation in the past 12 months among adults8.1%7.1–9.2
Loneliness among adults35.0%29.8–40.4
Utility services shut-off threat in the past 12 months among adults7.4%6.3–8.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)AL median (p10–p90)
Poverty rate14.9%10.6% (3.1–25.8%) n=32,36415.4% (5.1–31.1%) n=623
Uninsured 18–6415.6%9.0% (1.5–24.3%) n=32,28613.7% (5.2–25.2%) n=625
No HS diploma (25+)13.0%7.9% (1.8–20.7%) n=32,50513.2% (3.6–23.0%) n=626
Bachelor's or higher (25+)30.6%23.3% (9.2–53.6%) n=32,50516.9% (6.9–38.8%) n=626
Unemployment rate (16+)3.2%3.9% (0.0–9.8%) n=32,2744.2% (0.0–11.0%) n=622
Households without a vehicle4.4%3.9% (0.0–12.5%) n=32,3224.0% (0.0–12.1%) n=622
Broadband subscription91.7%89.3% (75.1–97.1%) n=32,32284.9% (68.8–94.9%) n=622
Housing cost burden (≥30% income)17.6%23.7% (10.6–40.0%) n=32,32221.3% (10.1–35.0%) n=622
Homeownership rate75.0%78.7% (51.7–94.0%) n=32,32278.3% (54.7–92.5%) n=622
Crowded housing (>1 per room)0.8%1.3% (0.0–6.3%) n=32,3221.3% (0.0–4.2%) n=622
Foreign-born population3.7%2.6% (0.0–18.6%) n=32,5531.3% (0.0–6.2%) n=628
Single-parent households56.1%53.6% (37.3–74.1%) n=32,08750.9% (35.0–68.6%) n=617
Population 65+22.1%19.4% (10.8–33.6%) n=32,55319.0% (11.9–29.2%) n=628
Median age45.5 yr42.2 yr (33.0–56.3) n=32,29241.3 yr (33.4–52.9) n=621
Median household income$72,643$72,070 ($46,039–$118,707) n=30,318$55,896 ($37,738–$88,230) n=587
Median home value$266,500$222,200 ($100,300–$579,820) n=30,049$160,950 ($87,300–$292,680) n=568
Median gross rent$849$1,021 ($677–$1,912) n=25,670$856 ($625–$1,266) n=503
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)AL median (p10–p90)
Life expectancy at birth74.3 yr ± 0.4378.9 yr (74.7–82.8) n=31,30874.7 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 0.43 years of 74.3, and it’s very unlikely to be off by more than twice that.

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