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ZipVitals

ZIP code

35661

in Muscle Shoals, AlabamaPopulation 19,169

49.03/ 100

Ranked #17,622 of 32,066 US ZIPs (bottom 45%)

Ranked #138 of 619 Alabama ZIPs (top 22%)

Ranked #5 of 13 Florence-Muscle Shoals, AL ZIPs (top 38%)

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.

Arsenic in groundwater

0.91%

in the bottom 1.0% nationally

Lower is healthier

ST10th
US1st
Definition & 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 ›

Pharmacy access

0.59 per 1,000 residents

in the top 3.6% nationally

Higher is healthier

ST96th
US96th
Definition & source ›

The number of pharmacies 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 5.7% nationally

Lower is healthier

ST98th
US94th
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 ›

PFAS in drinking water

59.4%

in the top 8.2% nationally

Lower is healthier

ST96th
US92nd
Definition & 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 ›

Natural-disaster risk

in the top 11.8% nationally

Lower is healthier

ST95th
US88th
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 ›

Radon

2.3 pCi/L

in the top 24% nationally

Lower is healthier

ST99th
US76th
Definition & source ›

The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.

Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.

Full methodology ›

The read

Overall, Muscle Shoals, Alabama (ZIP 35661) lands in the bottom 45% nationally (17,622nd) and the top 22% of Alabama (138th).

continue reading

A number of measures pull each way for this area: modeled arsenic rests in the bottom 1.0% nationally, and pharmacy stands in the top 3.6% nationally. Distance to an emergency room lies at the national minimum, shared with about 11% of ZIPs. Grocery lands in the top 10.4% nationally. Distance to a community health center sits at the national minimum, shared with about 23% of ZIPs. Distance to a nursing home is at the national minimum, shared with about 27% of ZIPs. Set against that, modeled expected annual loss settles in the top 5.7% nationally, pfas resides in the top 8.2% nationally, and disaster risk registers in the top 11.8% nationally. PFOA in drinking water rests in the top 14.2% nationally.

A note on the terms: arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. 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. For a healthier nearby comparison, ZIP 35634, just across the boundary, ranks better overall.

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 Florence-Muscle Shoals, AL metro area.

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

Compare within

Lifting this score

Preventive Care

healthier than 67%

13%

Healthcare Access

in the top 0.00%

5%

About typical

Chronic Disease Burden

healthier than 42%

21%

Social Need / SDOH

healthier than 42%

16%

Risk Behavior

healthier than 51%

11%

Mental Health

healthier than 46%

8%

Disability

healthier than 45%

7%

Holding it back

Environmental Hazard

healthier than 16%

14%

Climate / Disaster Risk

healthier than 23%

5%

Lifting this score

Chronic Disease Burden

healthier than 76%

21%

Social Need / SDOH

healthier than 66%

16%

Preventive Care

healthier than 77%

13%

Risk Behavior

healthier than 81%

11%

Mental Health

healthier than 69%

8%

Disability

healthier than 82%

7%

Healthcare Access

in the top 0.00%

5%

Holding it back

Environmental Hazard

healthier than 8%

14%

Climate / Disaster Risk

healthier than 30%

5%

Lifting this score

Chronic Disease Burden

healthier than 75%

21%

Preventive Care

healthier than 83%

13%

Risk Behavior

healthier than 83%

11%

Mental Health

healthier than 75%

8%

Disability

healthier than 83%

7%

Healthcare Access

in the top 0.00%

5%

Holding it back

Social Need / SDOH

healthier than 33%

16%

Environmental Hazard

healthier than 8%

14%

Climate / Disaster Risk

in the bottom 0.00%

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 75.2 ± 1.3 years. A median household income of $74,310 predicts 78.9 years — 3.7 years below.

    Ranked #4,823 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 adults31.7%28.2–35.1
High blood pressure among adults42.4%38.0–46.5
Cancer (non-skin) or melanoma among adults9.1%8.2–10.0
Current asthma among adults10.2%8.9–11.4
Coronary heart disease among adults7.2%6.4–8.0
Chronic obstructive pulmonary disease among adults7.7%6.7–8.7
Depression among adults23.9%20.2–27.7
Diagnosed diabetes among adults13.8%11.9–15.6
High cholesterol among adults who have ever been screened41.7%37.3–46.1
Obesity among adults36.0%28.6–43.8
Stroke among adults3.9%3.5–4.2
All teeth lost among adults aged >=65 years13.9%11.2–16.8
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years8.5%7.2–10.1
Taking medicine to control high blood pressure among adults with high blood pressure78.5%75.5–81.0
Visits to doctor for routine checkup within the past year among adults80.7%77.3–83.8
Cholesterol screening among adults87.0%85.2–88.7
Colorectal cancer screening among adults aged 45–75 years68.4%63.3–73.0
Visited dentist or dental clinic in the past year among adults60.8%56.8–64.6
Mammography use among women aged 50-74 years77.3%69.7–83.6
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.5%11.8–17.3
Current cigarette smoking among adults14.2%12.1–16.5
No leisure-time physical activity among adults25.8%21.5–30.2
Short sleep duration among adults39.5%32.5–46.7
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults20.9%18.2–23.6
Frequent mental distress among adults16.7%14.7–18.7
Frequent physical distress among adults13.9%12.2–15.7
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults15.1%13.2–16.9
Any disability among adults35.0%30.5–39.6
Hearing disability among adults8.4%7.5–9.4
Independent living disability among adults8.9%7.9–9.9
Mobility disability among adults16.1%14.0–18.1
Self-care disability among adults4.1%3.6–4.4
Vision disability among adults5.1%4.6–5.7
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults23.9%20.5–27.6
Food insecurity in the past 12 months among adults15.2%13.2–17.6
Received food stamps in the past 12 months among adults10.5%9.0–12.1
Housing insecurity in the past 12 months among adults11.6%10.1–13.4
Lack of reliable transportation in the past 12 months among adults8.1%7.1–9.1
Loneliness among adults34.1%29.0–39.6
Utility services shut-off threat in the past 12 months among adults7.7%6.7–8.9
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)AL median (p10–p90)
Poverty rate14.4%10.6% (3.1–25.8%) n=32,36415.4% (5.1–31.1%) n=623
Uninsured 18–6414.4%9.0% (1.5–24.3%) n=32,28613.7% (5.2–25.2%) n=625
No HS diploma (25+)9.9%7.9% (1.8–20.7%) n=32,50513.2% (3.6–23.0%) n=626
Bachelor's or higher (25+)23.8%23.3% (9.2–53.6%) n=32,50516.9% (6.9–38.8%) n=626
Unemployment rate (16+)3.9%3.9% (0.0–9.8%) n=32,2744.2% (0.0–11.0%) n=622
Households without a vehicle2.7%3.9% (0.0–12.5%) n=32,3224.0% (0.0–12.1%) n=622
Broadband subscription86.7%89.3% (75.1–97.1%) n=32,32284.9% (68.8–94.9%) n=622
Housing cost burden (≥30% income)21.4%23.7% (10.6–40.0%) n=32,32221.3% (10.1–35.0%) n=622
Homeownership rate70.3%78.7% (51.7–94.0%) n=32,32278.3% (54.7–92.5%) n=622
Crowded housing (>1 per room)0.5%1.3% (0.0–6.3%) n=32,3221.3% (0.0–4.2%) n=622
Foreign-born population1.8%2.6% (0.0–18.6%) n=32,5531.3% (0.0–6.2%) n=628
Single-parent households53.6%53.6% (37.3–74.1%) n=32,08750.9% (35.0–68.6%) n=617
Population 65+19.8%19.4% (10.8–33.6%) n=32,55319.0% (11.9–29.2%) n=628
Median age41.2 yr42.2 yr (33.0–56.3) n=32,29241.3 yr (33.4–52.9) n=621
Median household income$74,310$72,070 ($46,039–$118,707) n=30,318$55,896 ($37,738–$88,230) n=587
Median home value$191,800$222,200 ($100,300–$579,820) n=30,049$160,950 ($87,300–$292,680) n=568
Median gross rent$1,006$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 birth75.2 yr ± 0.6878.9 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 0.68 years of 75.2, 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