ZIP code
25164
in Procious, West VirginiaPopulation 571
31.72/ 100
Ranked #30,378 of 32,066 US ZIPs (bottom 5.3%)
Ranked #461 of 697 West Virginia ZIPs (bottom 34%)
Ranked #57 of 83 Charleston, WV ZIPs (bottom 31%)
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.
Tree cover
91.4%
in the top 0.9% nationally
Higher is healthier
ST83rdUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Tooth loss
28.9%
in the top 3.8% nationally
Lower is healthier
ST76thUS96thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Civic-institution access
0.88 per 1,000 residents
in the top 5.3% nationally
Higher is healthier
ST95thUS95thDefinition & source ›
The number of civic and social organizations 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.
Full methodology ›Cognitive disability
20.9%
in the top 6.3% nationally
Lower is healthier
ST65thUS94thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Short sleep
42.8%
in the top 7.0% nationally
Lower is healthier
ST55thUS93rdDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Independent-living disability
12.8%
in the top 7.5% nationally
Lower is healthier
ST64thUS93rdDefinition & 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 ›Fair or poor health
30.1%
in the top 8.2% nationally
Lower is healthier
ST63rdUS92ndDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›High cholesterol
44.8%
in the top 4.8% nationally
Lower is healthier
ST47thUS95thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Distance to an emergency room
17.6 mi
in the top 7.6% nationally
Lower is healthier
ST98thUS92ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›High blood pressure
47.2%
in the top 7.3% nationally
Lower is healthier
ST51stUS93rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›The read
Procious, West Virginia (ZIP 25164), overall, ranks in the bottom 5.3% nationally (30,378th) and the bottom 34% of West Virginia (461st).
Reading across the data, the real pressures come first: modeled tooth loss lands in the top 3.8% nationally, cognitive disability lies in the top 6.3% nationally, and short sleep stands in the top 7.0% nationally. Modeled independent living disability rests in the top 7.5% nationally, fair or poor health registers in the top 8.2% nationally, and high cholesterol resides in the top 4.8% nationally. Distance to an emergency room settles in the top 7.6% nationally, and modeled high blood pressure is in the top 7.3% nationally. More encouragingly, modeled tree cover sits in the top 0.9% nationally, and civic lands in the top 5.3% nationally.
ZIP 25005, just across the boundary, comes out healthier overall. Modeled cognitive disability lands in the top 6.3% nationally.
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 Charleston, WV metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 65%
5%
About typical
Environmental Hazard
healthier than 55%
14%
Healthcare Access
healthier than 41%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 18%
16%
Preventive Care
healthier than 37%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 9%
7%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 40%
21%
Social Need / SDOH
healthier than 42%
16%
Environmental Hazard
healthier than 45%
14%
Holding it back
Preventive Care
healthier than 28%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 35%
8%
Disability
healthier than 36%
7%
Climate / Disaster Risk
healthier than 37%
5%
Healthcare Access
healthier than 30%
5%
Lifting this score
Climate / Disaster Risk
healthier than 63%
5%
About typical
Social Need / SDOH
healthier than 44%
16%
Environmental Hazard
healthier than 45%
14%
Risk Behavior
healthier than 44%
11%
Mental Health
healthier than 40%
8%
Holding it back
Chronic Disease Burden
healthier than 39%
21%
Preventive Care
healthier than 29%
13%
Disability
healthier than 38%
7%
Healthcare Access
healthier than 27%
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
25005
West Virginiashares a border
Score 32.59
Closest healthier
25133
West Virginiashares a border
Score 32.28
Similar health profile
25123
West Virginia100% similar profile
Score 31.87
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 | 41.6% | 38.1–45.0 |
| High blood pressure among adults | 47.2% | 43.3–51.2 |
| Cancer (non-skin) or melanoma among adults | 9.8% | 9.0–10.7 |
| Current asthma among adults | 12.8% | 11.5–14.3 |
| Coronary heart disease among adults | 10.1% | 9.0–11.2 |
| Chronic obstructive pulmonary disease among adults | 13.5% | 11.9–15.3 |
| Depression among adults | 31.7% | 28.1–35.7 |
| Diagnosed diabetes among adults | 18.0% | 16.0–20.2 |
| High cholesterol among adults who have ever been screened | 44.8% | 40.7–49.0 |
| Obesity among adults | 41.3% | 34.5–49.0 |
| Stroke among adults | 5.0% | 4.5–5.5 |
| All teeth lost among adults aged >=65 years | 28.9% | 24.6–33.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.3% | 7.7–11.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.8% | 78.3–83.1 |
| Visits to doctor for routine checkup within the past year among adults | 80.8% | 77.9–83.7 |
| Cholesterol screening among adults | 86.3% | 84.4–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 64.3% | 59.3–68.6 |
| Visited dentist or dental clinic in the past year among adults | 47.5% | 43.7–50.9 |
| Mammography use among women aged 50-74 years | 72.6% | 64.4–78.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.1% | 11.0–15.6 |
| Current cigarette smoking among adults | 24.0% | 20.7–27.5 |
| No leisure-time physical activity among adults | 37.6% | 32.7–42.8 |
| Short sleep duration among adults | 42.8% | 36.2–48.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.1% | 26.5–33.8 |
| Frequent mental distress among adults | 22.3% | 19.9–24.7 |
| Frequent physical distress among adults | 20.1% | 17.9–22.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.9% | 18.5–23.6 |
| Any disability among adults | 43.4% | 38.8–48.0 |
| Hearing disability among adults | 10.1% | 9.0–11.2 |
| Independent living disability among adults | 12.8% | 11.4–14.5 |
| Mobility disability among adults | 22.3% | 19.6–25.1 |
| Self-care disability among adults | 5.8% | 5.1–6.6 |
| Vision disability among adults | 7.1% | 6.3–7.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.9% | 20.6–27.3 |
| Food insecurity in the past 12 months among adults | 19.5% | 16.6–22.7 |
| Received food stamps in the past 12 months among adults | 22.6% | 19.4–26.1 |
| Housing insecurity in the past 12 months among adults | 13.7% | 11.8–15.9 |
| Lack of reliable transportation in the past 12 months among adults | 10.2% | 8.9–11.6 |
| Loneliness among adults | 34.6% | 30.0–39.2 |
| Utility services shut-off threat in the past 12 months among adults | 12.5% | 10.8–14.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.3% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 7.0% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 18.6% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 8.8% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 7.8% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 89.6% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 19.7% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 92.6% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 76.3% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 26.4% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 56.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $58,375 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $126,400 | $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 | 75.5 yr ± 0.77 | 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 0.77 years of 75.5, 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