ZIP code
35616
in Cherokee, AlabamaPopulation 3,731
38.54/ 100
Ranked #27,697 of 32,066 US ZIPs (bottom 13.7%)
Ranked #449 of 619 Alabama ZIPs (bottom 27%)
Ranked #12 of 13 Florence-Muscle Shoals, AL ZIPs (bottom 7.7%)
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 blood pressure
49.3%
in the top 4.1% nationally
Lower is healthier
ST74thUS96thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Grocery access
0.27 per 1,000 residents
in the top 4.5% nationally
Higher is healthier
ST96thUS96thDefinition & 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 ›High cholesterol
45.7%
in the top 3.2% nationally
Lower is healthier
ST89thUS97thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Diabetes
18.2%
in the top 7.5% nationally
Lower is healthier
ST73rdUS93rdDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Poverty rate
28.7%
in the top 7.7% nationally
Lower is healthier
ST87thUS92ndDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Mobility disability
22.2%
in the top 9.0% nationally
Lower is healthier
ST72ndUS91stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Stroke
5.4%
in the top 8.9% nationally
Lower is healthier
ST74thUS91stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Loud transportation noise
1.5%
in the top 11.2% nationally
Lower is healthier
ST95thUS89thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›The read
Cherokee, Alabama (ZIP 35616), by its overall standing, sits in the bottom 13.7% nationally (27,697th) and the bottom 27% of Alabama (449th).
The profile opens balanced, with readings on either hand: grocery settles in the top 4.5% nationally. By contrast, modeled high blood pressure registers in the top 4.1% nationally, high cholesterol stands in the top 3.2% nationally, and diabetes lands in the top 7.5% nationally. Poverty is in the top 7.7% nationally, and modeled mobility disability resides in the top 9.0% nationally. Modeled stroke rests in the top 8.9% nationally, and hearing disability lies in the top 10.1% nationally. Modeled loud transportation noise sits in the top 11.2% nationally, and coronary heart disease settles in the top 10.5% nationally.
Defined in plain terms, loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. The nearest ZIP ranking healthier overall is ZIP 35582, 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 Florence-Muscle Shoals, AL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Nothing measured is lifting this score.
About typical
Preventive Care
healthier than 42%
13%
Holding it back
Chronic Disease Burden
healthier than 8%
21%
Social Need / SDOH
healthier than 29%
16%
Environmental Hazard
healthier than 31%
14%
Risk Behavior
healthier than 20%
11%
Mental Health
healthier than 29%
8%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 30%
5%
Healthcare Access
healthier than 33%
5%
Nothing measured is lifting this score.
About typical
Social Need / SDOH
healthier than 52%
16%
Preventive Care
healthier than 42%
13%
Climate / Disaster Risk
healthier than 54%
5%
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Environmental Hazard
healthier than 21%
14%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 39%
8%
Disability
healthier than 32%
7%
Healthcare Access
healthier than 29%
5%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 50%
14%
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 17%
16%
Preventive Care
healthier than 25%
13%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 33%
8%
Disability
healthier than 8%
7%
Healthcare Access
healthier than 25%
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
35582
Alabamashares a border
Score 43.96
Closest healthier
35633
Alabamashares a border
Score 48.36
Similar health profile
63955
Missouri99% similar profile
Score 35.46
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 | 37.6% | 33.9–41.4 |
| High blood pressure among adults | 49.3% | 44.8–53.6 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 9.0–11.0 |
| Current asthma among adults | 10.6% | 9.3–11.9 |
| Coronary heart disease among adults | 9.9% | 8.8–11.1 |
| Chronic obstructive pulmonary disease among adults | 11.5% | 10.0–13.1 |
| Depression among adults | 25.1% | 21.4–28.9 |
| Diagnosed diabetes among adults | 18.2% | 15.9–20.6 |
| High cholesterol among adults who have ever been screened | 45.7% | 41.0–50.2 |
| Obesity among adults | 40.0% | 32.0–48.2 |
| Stroke among adults | 5.4% | 4.9–5.9 |
| All teeth lost among adults aged >=65 years | 19.8% | 16.2–23.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.5% | 8.5–12.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.1% | 78.4–83.6 |
| Visits to doctor for routine checkup within the past year among adults | 81.3% | 78.0–84.4 |
| Cholesterol screening among adults | 86.2% | 84.3–88.2 |
| Colorectal cancer screening among adults aged 45–75 years | 64.7% | 59.4–69.7 |
| Visited dentist or dental clinic in the past year among adults | 51.7% | 47.5–55.7 |
| Mammography use among women aged 50-74 years | 73.4% | 64.9–80.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.0% | 10.6–15.7 |
| Current cigarette smoking among adults | 19.4% | 16.2–22.4 |
| No leisure-time physical activity among adults | 32.5% | 27.2–37.7 |
| Short sleep duration among adults | 40.9% | 33.7–48.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.8% | 24.0–31.5 |
| Frequent mental distress among adults | 17.8% | 15.6–19.9 |
| Frequent physical distress among adults | 17.5% | 15.3–19.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.7% | 15.4–20.0 |
| Any disability among adults | 42.2% | 37.0–47.0 |
| Hearing disability among adults | 10.9% | 9.7–12.2 |
| Independent living disability among adults | 11.7% | 10.2–13.2 |
| Mobility disability among adults | 22.2% | 19.3–25.0 |
| Self-care disability among adults | 6.0% | 5.3–6.8 |
| Vision disability among adults | 7.3% | 6.5–8.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.3% | 20.8–28.3 |
| Food insecurity in the past 12 months among adults | 20.4% | 17.4–24.1 |
| Received food stamps in the past 12 months among adults | 16.2% | 13.6–19.3 |
| Housing insecurity in the past 12 months among adults | 13.6% | 11.7–15.9 |
| Lack of reliable transportation in the past 12 months among adults | 10.1% | 8.8–11.6 |
| Loneliness among adults | 33.7% | 28.6–39.3 |
| Utility services shut-off threat in the past 12 months among adults | 9.8% | 8.5–11.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 28.7% | 10.6% (3.1–25.8%) n=32,364 | 15.4% (5.1–31.1%) n=623 |
| Uninsured 18–64 | 16.4% | 9.0% (1.5–24.3%) n=32,286 | 13.7% (5.2–25.2%) n=625 |
| No HS diploma (25+) | 14.2% | 7.9% (1.8–20.7%) n=32,505 | 13.2% (3.6–23.0%) n=626 |
| Bachelor's or higher (25+) | 13.6% | 23.3% (9.2–53.6%) n=32,505 | 16.9% (6.9–38.8%) n=626 |
| Unemployment rate (16+) | 5.4% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.0–11.0%) n=622 |
| Households without a vehicle | 4.8% | 3.9% (0.0–12.5%) n=32,322 | 4.0% (0.0–12.1%) n=622 |
| Broadband subscription | 79.0% | 89.3% (75.1–97.1%) n=32,322 | 84.9% (68.8–94.9%) n=622 |
| Housing cost burden (≥30% income) | 23.8% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (10.1–35.0%) n=622 |
| Homeownership rate | 76.4% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (54.7–92.5%) n=622 |
| Crowded housing (>1 per room) | 0.5% | 1.3% (0.0–6.3%) n=32,322 | 1.3% (0.0–4.2%) n=622 |
| Foreign-born population | 1.0% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–6.2%) n=628 |
| Single-parent households | 51.7% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (35.0–68.6%) n=617 |
| Population 65+ | 25.0% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.9–29.2%) n=628 |
| Median age | 45.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.3 yr (33.4–52.9) n=621 |
| Median household income | $48,720 | $72,070 ($46,039–$118,707) n=30,318 | $55,896 ($37,738–$88,230) n=587 |
| Median home value | $100,500 | $222,200 ($100,300–$579,820) n=30,049 | $160,950 ($87,300–$292,680) n=568 |
| Median gross rent | $793 | $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 | 71.9 yr ± 1.21 | 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 1.21 years of 71.9, 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