ZIP code
24941
in Gap Mills, West VirginiaPopulation 1,243
31.40/ 100
Ranked #30,452 of 32,066 US ZIPs (bottom 5.1%)
Ranked #473 of 697 West Virginia ZIPs (bottom 32%)
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 cholesterol
49.5%
in the top 0.4% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Diabetes
21.1%
in the top 2.4% nationally
Lower is healthier
ST88thUS98thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Coronary heart disease
12.0%
in the top 1.8% nationally
Lower is healthier
ST88thUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›High blood pressure
52.2%
in the top 1.8% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Mobility disability
25.4%
in the top 3.0% nationally
Lower is healthier
ST83rdUS97thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Fair or poor health
32.1%
in the top 5.2% nationally
Lower is healthier
ST76thUS95thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Hearing disability
11.8%
in the top 5.2% nationally
Lower is healthier
ST87thUS95thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Independent-living disability
13.1%
in the top 6.4% nationally
Lower is healthier
ST69thUS94thDefinition & 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 ›Transportation noise
0.01%
in the bottom 5.5% nationally
Lower is healthier
ST11thUS5thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Stroke
5.7%
in the top 6.0% nationally
Lower is healthier
ST84thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›The read
On the composite measure, Gap Mills, West Virginia (ZIP 24941) stands in the bottom 5.1% nationally (30,452nd) and the bottom 32% of West Virginia (473rd).
A number of readings press hard on the profile and set its tone: modeled high cholesterol lands in the top 0.4% nationally, and diabetes settles in the top 2.4% nationally. Modeled coronary heart disease rests in the top 1.8% nationally, and high blood pressure lands in the top 1.8% nationally. Modeled mobility disability settles in the top 3.0% nationally, fair or poor health rests in the top 5.2% nationally, and hearing disability lands in the top 5.2% nationally. Modeled independent living disability settles in the top 6.4% nationally, and stroke rests in the top 6.0% nationally. On the brighter side, modeled transportation noise lands in the bottom 5.5% nationally.
Set beside the wider area around it, park land runs far lower than the surrounding ZIPs on this measure. For clarity, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. ZIP 24131, just across the boundary, ranks better overall among the ZIPs nearby.
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.
Lifting this score
Environmental Hazard
healthier than 90%
14%
Preventive Care
healthier than 69%
13%
Climate / Disaster Risk
healthier than 85%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.8%
21%
Social Need / SDOH
healthier than 11%
16%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 6%
7%
Healthcare Access
healthier than 34%
5%
Lifting this score
Environmental Hazard
healthier than 86%
14%
Preventive Care
healthier than 78%
13%
Mental Health
healthier than 65%
8%
Climate / Disaster Risk
healthier than 89%
5%
About typical
Risk Behavior
healthier than 49%
11%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 29%
16%
Disability
healthier than 22%
7%
Healthcare Access
healthier than 18%
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 90.3 (top 10%); chronic-disease standing 0.7 (bottom 1%) — 90 points apart, cleaner on the environment than it is on chronic illness.
Ranked #129 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.
Nearby
24131
Virginiashares a border
Score 50.48
Closest healthier
24426
Virginiashares a border
Score 45.81
Similar health profile
26804
West Virginia100% similar profile
Score 35.61
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 | 47.0% | 42.7–51.5 |
| High blood pressure among adults | 52.2% | 47.3–57.1 |
| Cancer (non-skin) or melanoma among adults | 11.4% | 10.2–12.7 |
| Current asthma among adults | 12.6% | 11.1–14.4 |
| Coronary heart disease among adults | 12.0% | 10.4–13.8 |
| Chronic obstructive pulmonary disease among adults | 15.4% | 12.8–18.3 |
| Depression among adults | 30.8% | 26.7–35.5 |
| Diagnosed diabetes among adults | 21.1% | 18.2–24.4 |
| High cholesterol among adults who have ever been screened | 49.5% | 44.6–54.3 |
| Obesity among adults | 43.8% | 35.1–52.7 |
| Stroke among adults | 5.7% | 4.9–6.6 |
| All teeth lost among adults aged >=65 years | 22.8% | 18.8–27.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.8% | 7.3–12.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.7% | 80.8–86.1 |
| Visits to doctor for routine checkup within the past year among adults | 82.9% | 79.4–85.7 |
| Cholesterol screening among adults | 88.2% | 86.0–90.1 |
| Colorectal cancer screening among adults aged 45–75 years | 70.0% | 65.1–74.9 |
| Visited dentist or dental clinic in the past year among adults | 50.2% | 46.4–54.3 |
| Mammography use among women aged 50-74 years | 75.3% | 67.2–82.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.7% | 9.4–14.3 |
| Current cigarette smoking among adults | 24.7% | 20.4–29.7 |
| No leisure-time physical activity among adults | 39.7% | 33.5–46.6 |
| Short sleep duration among adults | 40.5% | 33.9–47.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 32.1% | 27.1–37.7 |
| Frequent mental distress among adults | 20.8% | 18.2–23.7 |
| Frequent physical distress among adults | 21.4% | 18.4–24.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.1% | 17.1–23.6 |
| Any disability among adults | 46.1% | 40.4–52.8 |
| Hearing disability among adults | 11.8% | 10.2–13.5 |
| Independent living disability among adults | 13.1% | 11.0–15.4 |
| Mobility disability among adults | 25.4% | 21.4–29.8 |
| Self-care disability among adults | 6.4% | 5.3–7.6 |
| Vision disability among adults | 7.5% | 6.3–8.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.9% | 19.8–28.1 |
| Food insecurity in the past 12 months among adults | 19.5% | 15.3–24.0 |
| Received food stamps in the past 12 months among adults | 22.9% | 18.1–28.1 |
| Housing insecurity in the past 12 months among adults | 13.1% | 10.6–15.8 |
| Lack of reliable transportation in the past 12 months among adults | 9.7% | 8.1–11.6 |
| Loneliness among adults | 33.4% | 28.3–39.1 |
| Utility services shut-off threat in the past 12 months among adults | 12.1% | 10.1–14.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 1.7% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 12.6% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 21.8% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 6.5% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 5.2% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 6.1% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 82.3% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 10.2% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 82.6% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 0.1% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 65.1% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 15.1% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 39.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $62,600 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $124,200 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $778 | $1,021 ($677–$1,912) n=25,670 | $802 ($586–$1,085) n=293 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 89.6 yr ± 3.91 | 78.9 yr (74.7–82.8) n=31,308 | 76.2 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 3.91 years of 89.6, 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