ZIP code
25422
in Great Cacapon, West VirginiaPopulation 1,463
28.94/ 100
Ranked #30,958 of 32,066 US ZIPs (bottom 3.5%)
Ranked #542 of 697 West Virginia ZIPs (bottom 22%)
Ranked #28 of 28 Hagerstown-Martinsburg, MD-WV ZIPs (bottom 3.6%)
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.
Tooth loss
32.9%
in the top 1.8% nationally
Lower is healthier
ST90thUS98thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Coronary heart disease
12.2%
in the top 1.5% nationally
Lower is healthier
ST90thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
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 ›Tree cover
90.4%
in the top 1.2% nationally
Higher is healthier
ST79thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›High cholesterol
48.2%
in the top 0.8% nationally
Lower is healthier
ST93rdUS99thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›High blood pressure
52.3%
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
25.7%
in the top 2.7% nationally
Lower is healthier
ST85thUS97thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Fair or poor health
32.8%
in the top 4.5% nationally
Lower is healthier
ST80thUS96thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Independent-living disability
13.4%
in the top 5.5% nationally
Lower is healthier
ST73rdUS95thDefinition & 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 ›The read
Judged by its overall standing, Great Cacapon, West Virginia (ZIP 25422) sits in the bottom 3.5% nationally (30,958th) and the bottom 22% of West Virginia (542nd).
The profile carries real weight, and several readings make that plain: modeled tooth loss is in the top 1.8% nationally, coronary heart disease lies in the top 1.5% nationally, and diabetes registers in the top 2.4% nationally. Modeled high cholesterol is in the top 0.8% nationally, high blood pressure lies in the top 1.8% nationally, and mobility disability registers in the top 2.7% nationally. Modeled fair or poor health is in the top 4.5% nationally, and independent living disability lies in the top 5.5% nationally. Better still, modeled tree cover registers in the top 1.2% nationally, and homeownership is at the national maximum.
Placed beside its immediate neighbors, park land runs far higher than the surrounding ZIPs on this measure. A healthier nearby ZIP overall is ZIP 21555, 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 Hagerstown-Martinsburg, MD-WV metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 68%
14%
Climate / Disaster Risk
healthier than 61%
5%
About typical
Preventive Care
healthier than 47%
13%
Healthcare Access
healthier than 48%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.5%
21%
Social Need / SDOH
healthier than 15%
16%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 5%
7%
Lifting this score
Mental Health
healthier than 64%
8%
About typical
Environmental Hazard
healthier than 56%
14%
Preventive Care
healthier than 43%
13%
Healthcare Access
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Social Need / SDOH
healthier than 38%
16%
Risk Behavior
healthier than 36%
11%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 23%
5%
Lifting this score
Environmental Hazard
in the top 0.00%
14%
About typical
Healthcare Access
healthier than 41%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 7%
16%
Preventive Care
healthier than 15%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 15%
8%
Disability
in the bottom 0.00%
7%
Climate / Disaster Risk
healthier than 33%
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 67.5; chronic-disease standing 0.5 (bottom 1%) — 67 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,259 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
21555
Marylandshares a border
Score 43.41
Closest healthier
21750
Marylandshares a border
Score 45.32
Similar health profile
24898
West Virginia100% similar profile
Score 24.03
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 | 45.8% | 41.8–49.9 |
| High blood pressure among adults | 52.3% | 47.7–56.8 |
| Cancer (non-skin) or melanoma among adults | 11.2% | 10.1–12.4 |
| Current asthma among adults | 12.7% | 11.3–14.3 |
| Coronary heart disease among adults | 12.2% | 10.8–13.6 |
| Chronic obstructive pulmonary disease among adults | 15.5% | 13.1–17.5 |
| Depression among adults | 30.3% | 26.1–34.7 |
| Diagnosed diabetes among adults | 21.1% | 18.5–23.9 |
| High cholesterol among adults who have ever been screened | 48.2% | 43.3–53.0 |
| Obesity among adults | 42.5% | 34.5–51.0 |
| Stroke among adults | 5.8% | 5.1–6.4 |
| All teeth lost among adults aged >=65 years | 32.9% | 28.0–38.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.3% | 8.1–12.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.0% | 80.3–85.4 |
| Visits to doctor for routine checkup within the past year among adults | 82.5% | 79.3–85.3 |
| Cholesterol screening among adults | 87.9% | 86.0–89.7 |
| Colorectal cancer screening among adults aged 45–75 years | 66.3% | 61.1–71.8 |
| Visited dentist or dental clinic in the past year among adults | 48.7% | 44.7–53.0 |
| Mammography use among women aged 50-74 years | 70.8% | 62.6–78.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.4% | 9.2–13.9 |
| Current cigarette smoking among adults | 24.9% | 20.9–28.7 |
| No leisure-time physical activity among adults | 40.2% | 34.1–46.2 |
| Short sleep duration among adults | 43.1% | 36.2–50.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 32.8% | 28.2–37.2 |
| Frequent mental distress among adults | 21.2% | 18.7–23.8 |
| Frequent physical distress among adults | 21.7% | 18.8–24.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.5% | 17.8–23.2 |
| Any disability among adults | 46.1% | 40.4–51.4 |
| Hearing disability among adults | 11.9% | 10.5–13.3 |
| Independent living disability among adults | 13.4% | 11.6–15.1 |
| Mobility disability among adults | 25.7% | 22.0–29.2 |
| Self-care disability among adults | 6.4% | 5.5–7.3 |
| Vision disability among adults | 7.7% | 6.6–8.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.5% | 20.8–28.6 |
| Food insecurity in the past 12 months among adults | 19.9% | 16.4–23.8 |
| Received food stamps in the past 12 months among adults | 23.0% | 19.1–27.2 |
| Housing insecurity in the past 12 months among adults | 13.6% | 11.4–16.1 |
| Lack of reliable transportation in the past 12 months among adults | 10.1% | 8.6–11.7 |
| Loneliness among adults | 33.3% | 28.2–38.7 |
| Utility services shut-off threat in the past 12 months among adults | 12.2% | 10.5–14.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 25.6% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 20.1% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 19.0% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 18.3% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 7.0% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 4.2% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 82.1% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 23.0% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 100.0% | 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 | 2.2% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 60.9% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 35.7% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 57.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $52,047 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $173,800 | $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
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 76.7 yr ± 1.52 | 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 1.52 years of 76.7, 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