ZIP code
24976
in Sinks Grove, West VirginiaPopulation 1,095
33.26/ 100
Ranked #29,975 of 32,066 US ZIPs (bottom 6.6%)
Ranked #397 of 697 West Virginia ZIPs (bottom 43%)
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
46.7%
in the top 1.8% nationally
Lower is healthier
ST79thUS98thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Diabetes
19%
in the top 5.6% nationally
Lower is healthier
ST71stUS94thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Distance to a hazardous-chemical facility
19.2 mi
in the top 5.2% nationally
Higher is healthier
ST90thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›High blood pressure
48.5%
in the top 5.2% nationally
Lower is healthier
ST64thUS95thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Coronary heart disease
10.7%
in the top 5.6% nationally
Lower is healthier
ST69thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Fair or poor health
29.9%
in the top 8.5% nationally
Lower is healthier
ST61stUS92ndDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Cognitive disability
20.2%
in the top 8.5% nationally
Lower is healthier
ST56thUS92ndDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Mobility disability
22.3%
in the top 8.7% nationally
Lower is healthier
ST60thUS91stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Floodplain exposure
0.55%
in the bottom 10.0% nationally
Lower is healthier
ST7thUS10thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Obesity
43%
in the top 9.0% nationally
Lower is healthier
ST58thUS91stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›The read
On the composite measure, Sinks Grove, West Virginia (ZIP 24976) stands in the bottom 6.6% nationally (29,975th) and the bottom 43% of West Virginia (397th).
Several signals sit on each side of the ledger here: distance to a hazardous-chemical facility lies in the top 5.2% nationally. Unemployment is at the national minimum, shared with about 15% of ZIPs. Working the other way, modeled high cholesterol registers in the top 1.8% nationally, diabetes lies in the top 5.6% nationally, and high blood pressure is in the top 5.2% nationally. Modeled coronary heart disease registers in the top 5.6% nationally, fair or poor health lies in the top 8.5% nationally, and cognitive disability is in the top 8.5% nationally. Modeled mobility disability registers in the top 8.7% nationally. Fiber broadband lies at the national minimum, shared with about 19% of ZIPs.
For clarity, distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. ZIP 24910, 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 83%
14%
Climate / Disaster Risk
healthier than 83%
5%
About typical
Preventive Care
healthier than 47%
13%
Healthcare Access
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 10%
16%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 10%
7%
Lifting this score
Environmental Hazard
healthier than 72%
14%
Climate / Disaster Risk
healthier than 88%
5%
About typical
Preventive Care
healthier than 42%
13%
Risk Behavior
healthier than 43%
11%
Mental Health
healthier than 54%
8%
Healthcare Access
healthier than 54%
5%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Social Need / SDOH
healthier than 26%
16%
Disability
healthier than 38%
7%
“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 82.5; chronic-disease standing 3.1 (bottom 10%) — 79 points apart, cleaner on the environment than it is on chronic illness.
Ranked #519 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
24910
West Virginiashares a border
Score 35.52
Closest healthier
24970
West Virginiashares a border
Score 35.99
Similar health profile
25823
West Virginia100% similar profile
Score 31.80
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 | 42.5% | 38.6–46.4 |
| High blood pressure among adults | 48.5% | 44.0–52.9 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.0–11.1 |
| Current asthma among adults | 12.4% | 10.9–13.9 |
| Coronary heart disease among adults | 10.7% | 9.4–12.2 |
| Chronic obstructive pulmonary disease among adults | 13.5% | 11.4–15.8 |
| Depression among adults | 30.8% | 26.7–35.1 |
| Diagnosed diabetes among adults | 19.0% | 16.4–21.5 |
| High cholesterol among adults who have ever been screened | 46.7% | 42.2–51.1 |
| Obesity among adults | 43.0% | 35.4–51.1 |
| Stroke among adults | 5.0% | 4.4–5.6 |
| All teeth lost among adults aged >=65 years | 22.1% | 18.6–26.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.5% | 7.5–12.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.5% | 78.9–83.8 |
| Visits to doctor for routine checkup within the past year among adults | 81.2% | 78.0–84.3 |
| Cholesterol screening among adults | 86.5% | 84.3–88.5 |
| Colorectal cancer screening among adults aged 45–75 years | 67.1% | 62.1–71.9 |
| Visited dentist or dental clinic in the past year among adults | 48.8% | 45.0–52.7 |
| Mammography use among women aged 50-74 years | 73.4% | 66.1–80.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.2% | 10.8–15.9 |
| Current cigarette smoking among adults | 24.2% | 20.0–28.3 |
| No leisure-time physical activity among adults | 37.2% | 31.4–43.1 |
| Short sleep duration among adults | 41.3% | 34.9–48.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.9% | 25.4–34.6 |
| Frequent mental distress among adults | 21.5% | 18.9–24.1 |
| Frequent physical distress among adults | 20.0% | 17.3–22.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.2% | 17.3–23.2 |
| Any disability among adults | 43.5% | 38.0–48.8 |
| Hearing disability among adults | 10.7% | 9.3–12.1 |
| Independent living disability among adults | 12.2% | 10.4–14.1 |
| Mobility disability among adults | 22.3% | 18.9–25.8 |
| Self-care disability among adults | 5.8% | 4.9–6.8 |
| Vision disability among adults | 6.9% | 5.8–7.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.2% | 20.5–28.3 |
| Food insecurity in the past 12 months among adults | 19.0% | 15.4–23.1 |
| Received food stamps in the past 12 months among adults | 21.8% | 17.8–26.2 |
| Housing insecurity in the past 12 months among adults | 13.4% | 11.1–15.9 |
| Lack of reliable transportation in the past 12 months among adults | 9.9% | 8.3–11.6 |
| Loneliness among adults | 33.9% | 28.8–39.2 |
| Utility services shut-off threat in the past 12 months among adults | 12.3% | 10.4–14.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.6% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 12.4% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 8.8% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 9.5% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 6.4% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 96.0% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 28.2% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 85.3% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 78.9% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 28.9% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 46.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $46,383 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $206,400 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $1,090 | $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 | 81.9 yr ± 1.67 | 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 1.67 years of 81.9, 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