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ZipVitals

ZIP code

25501

in Alkol, West VirginiaPopulation 1,268

21.95/ 100

Ranked #31,745 of 32,066 US ZIPs (bottom 1.1%)

Ranked #637 of 697 West Virginia ZIPs (bottom 8.7%)

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.

Tooth loss

33.5%

in the top 1.6% nationally

Lower is healthier

ST91st
US98th
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

Independent-living disability

16.1%

in the top 1.6% nationally

Lower is healthier

ST92nd
US98th
Definition & source ›

The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.

Full methodology ›

Tree cover

93.8%

in the top 0.4% nationally

Higher is healthier

ST92nd
US99th
Definition & source ›

The share of this ZIP’s land area covered by forest.

Full methodology ›

Cognitive disability

24.5%

in the top 1.3% nationally

Lower is healthier

ST93rd
US99th
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

Fair or poor health

36.5%

in the top 1.8% nationally

Lower is healthier

ST92nd
US98th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Diabetes

20.7%

in the top 2.8% nationally

Lower is healthier

ST85th
US97th
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

Self-care disability

7.6%

in the top 3.9% nationally

Lower is healthier

ST92nd
US96th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Coronary heart disease

11.8%

in the top 2.1% nationally

Lower is healthier

ST85th
US98th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.

Full methodology ›

Obesity

48.6%

in the top 1.2% nationally

Lower is healthier

ST96th
US99th
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Mobility disability

25.4%

in the top 3.0% nationally

Lower is healthier

ST83rd
US97th
Definition & source ›

The estimated share of adults with serious difficulty walking or climbing stairs.

Full methodology ›

Cross-source signals

Health need and barriers to care documented here

On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.

These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.

Health need documented here

  • People living in poverty
  • Food insecurity
  • Adults reporting fair or poor health
  • Chronic conditions

Barriers to reaching care

  • Thin local supply of doctors
  • Thin local supply of pharmacies
  • Limited home internet for telehealth

A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.

See the full care-deserts analysis →

The read

Alkol, West Virginia (ZIP 25501), by its composite score, sits in the bottom 1.1% nationally (31,745th) and the bottom 8.7% of West Virginia (637th).

continue reading

What the data marks out about this place comes first: modeled tooth loss rests in the top 1.6% nationally, and independent living disability resides in the top 1.6% nationally. Modeled cognitive disability is in the top 1.3% nationally, and fair or poor health lands in the top 1.8% nationally. Modeled diabetes stands in the top 2.8% nationally, self-care disability registers in the top 3.9% nationally, and coronary heart disease settles in the top 2.1% nationally. Modeled obesity sits in the top 1.2% nationally, and mobility disability lies in the top 3.0% nationally. On the better side, modeled tree cover rests in the top 0.4% nationally.

For a healthier comparison close by, see ZIP 25506, just across the boundary. The area further shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.

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

Climate / Disaster Risk

healthier than 61%

5%

About typical

Environmental Hazard

healthier than 58%

14%

Holding it back

Chronic Disease Burden

in the bottom 0.8%

21%

Social Need / SDOH

healthier than 4%

16%

Preventive Care

healthier than 21%

13%

Risk Behavior

in the bottom 0.9%

11%

Mental Health

in the bottom 0.6%

8%

Disability

healthier than 2%

7%

Healthcare Access

healthier than 37%

5%

Nothing measured is lifting this score.

About typical

Environmental Hazard

healthier than 48%

14%

Holding it back

Chronic Disease Burden

healthier than 13%

21%

Social Need / SDOH

healthier than 12%

16%

Preventive Care

healthier than 11%

13%

Risk Behavior

healthier than 10%

11%

Mental Health

healthier than 10%

8%

Disability

healthier than 8%

7%

Climate / Disaster Risk

healthier than 25%

5%

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 ›

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.

  • Clean environment, heavy chronic burden

    Where the environment and chronic illness point in opposite directions

    Environmental-hazard standing 58.1; chronic-disease standing 0.7 (bottom 1%) — 57 points apart, cleaner on the environment than it is on chronic illness.

    Ranked #1,921 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, 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 adults42.7%38.7–46.5
High blood pressure among adults49.4%44.9–53.8
Cancer (non-skin) or melanoma among adults9.2%8.3–10.2
Current asthma among adults13.3%11.7–15.0
Coronary heart disease among adults11.8%10.5–13.1
Chronic obstructive pulmonary disease among adults16.5%14.3–18.6
Depression among adults33.5%29.0–38.0
Diagnosed diabetes among adults20.7%18.1–23.4
High cholesterol among adults who have ever been screened43.8%39.2–48.5
Obesity among adults48.6%40.5–56.4
Stroke among adults5.8%5.2–6.4
All teeth lost among adults aged >=65 years33.5%28.8–38.5
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years12.4%9.8–15.5
Taking medicine to control high blood pressure among adults with high blood pressure80.4%77.7–82.9
Visits to doctor for routine checkup within the past year among adults80.5%76.9–83.7
Cholesterol screening among adults83.1%80.6–85.4
Colorectal cancer screening among adults aged 45–75 years62.3%57.2–67.2
Visited dentist or dental clinic in the past year among adults44.0%40.3–47.9
Mammography use among women aged 50-74 years72.5%64.3–79.4
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults12.6%10.2–15.5
Current cigarette smoking among adults29.6%25.7–33.6
No leisure-time physical activity among adults40.4%34.9–46.1
Short sleep duration among adults45.0%38.6–51.5
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults36.5%32.0–40.8
Frequent mental distress among adults24.3%21.6–27.1
Frequent physical distress among adults23.1%20.3–25.9
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults24.5%21.6–27.6
Any disability among adults48.1%42.8–53.3
Hearing disability among adults11.7%10.3–13.0
Independent living disability among adults16.1%14.1–18.2
Mobility disability among adults25.4%22.2–28.7
Self-care disability among adults7.6%6.6–8.6
Vision disability among adults9.4%8.2–10.5
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults24.9%21.1–29.0
Food insecurity in the past 12 months among adults27.0%22.8–31.5
Received food stamps in the past 12 months among adults33.8%29.3–38.5
Housing insecurity in the past 12 months among adults18.4%15.6–21.4
Lack of reliable transportation in the past 12 months among adults13.9%12.0–15.9
Loneliness among adults35.2%30.1–40.4
Utility services shut-off threat in the past 12 months among adults17.6%15.2–20.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WV median (p10–p90)
Poverty rate27.7%10.6% (3.1–25.8%) n=32,36416.3% (0.0–41.0%) n=694
Uninsured 18–646.5%9.0% (1.5–24.3%) n=32,2867.1% (0.0–21.5%) n=682
No HS diploma (25+)24.2%7.9% (1.8–20.7%) n=32,50511.8% (0.9–29.6%) n=695
Bachelor's or higher (25+)10.8%23.3% (9.2–53.6%) n=32,50514.1% (0.0–32.5%) n=695
Unemployment rate (16+)0.0%3.9% (0.0–9.8%) n=32,2743.4% (0.0–17.9%) n=668
Households without a vehicle8.5%3.9% (0.0–12.5%) n=32,3224.3% (0.0–17.1%) n=694
Broadband subscription81.7%89.3% (75.1–97.1%) n=32,32285.7% (62.6–100.0%) n=694
Housing cost burden (≥30% income)27.2%23.7% (10.6–40.0%) n=32,32216.7% (0.0–34.6%) n=694
Homeownership rate94.3%78.7% (51.7–94.0%) n=32,32284.0% (61.6–100.0%) n=694
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3220.0% (0.0–4.1%) n=694
Foreign-born population0.0%2.6% (0.0–18.6%) n=32,5530.0% (0.0–2.1%) n=696
Single-parent households81.9%53.6% (37.3–74.1%) n=32,08757.0% (31.3–90.6%) n=686
Population 65+25.7%19.4% (10.8–33.6%) n=32,55322.0% (10.4–45.0%) n=696
Median age54.3 yr42.2 yr (33.0–56.3) n=32,29245.9 yr (32.6–62.1) n=681
Median household income$42,188$72,070 ($46,039–$118,707) n=30,318$55,088 ($33,083–$85,218) n=539
Median home value$109,900$222,200 ($100,300–$579,820) n=30,049$125,600 ($66,920–$223,500) n=553
Median gross rent$1,021 ($677–$1,912) n=25,670$802 ($586–$1,085) n=293
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)WV median (p10–p90)
Life expectancy at birth72.9 yr ± 0.9278.9 yr (74.7–82.8) n=31,30876.2 yr (73.1–81.1) n=686

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 0.92 years of 72.9, 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