ZIP code
25021
in Bim, West VirginiaPopulation 258
17.53/ 100
Ranked #31,969 of 32,066 US ZIPs (bottom 0.4%)
Ranked #675 of 697 West Virginia ZIPs (bottom 3.2%)
Ranked #83 of 83 Charleston, WV ZIPs (bottom 1.3%)
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
38.3%
in the top 0.6% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Independent-living disability
17%
in the top 1.0% nationally
Lower is healthier
ST95thUS99thDefinition & 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
38.2%
in the top 1.1% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Cognitive disability
25.2%
in the top 1.0% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Mobility disability
28.9%
in the top 0.8% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Coronary heart disease
13.0%
in the top 0.8% nationally
Lower is healthier
ST95thUS99thDefinition & 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
51.1%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Diabetes
21.8%
in the top 1.9% nationally
Lower is healthier
ST92ndUS98thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Self-care disability
8.0%
in the top 2.8% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›High blood pressure
53.3%
in the top 1.3% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›The read
Overall, Bim, West Virginia (ZIP 25021) places in the bottom 0.4% nationally (31,969th) and the bottom 3.2% of West Virginia (675th).
The measures that matter most for this area lead the way: modeled tooth loss resides in the top 0.6% nationally, and independent living disability is in the top 1.0% nationally. Modeled fair or poor health lands in the top 1.1% nationally, and cognitive disability stands in the top 1.0% nationally. Modeled mobility disability registers in the top 0.8% nationally, coronary heart disease settles in the top 0.8% nationally, and obesity sits in the top 0.5% nationally. Modeled diabetes lies in the top 1.9% nationally, self-care disability rests in the top 2.8% nationally, and high blood pressure resides in the top 1.3% nationally.
Among nearby ZIPs, the nearest healthier one overall is ZIP 25028, just across the boundary. Modeled cognitive disability resides in the top 1.0% 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
Environmental Hazard
healthier than 71%
14%
Climate / Disaster Risk
healthier than 67%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.2%
21%
Social Need / SDOH
healthier than 3%
16%
Preventive Care
healthier than 15%
13%
Risk Behavior
in the bottom 0.4%
11%
Mental Health
in the bottom 0.5%
8%
Disability
in the bottom 0.5%
7%
Healthcare Access
healthier than 38%
5%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 59%
14%
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 7%
16%
Preventive Care
healthier than 6%
13%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 9%
8%
Disability
healthier than 4%
7%
Healthcare Access
healthier than 26%
5%
Lifting this score
Environmental Hazard
healthier than 62%
14%
Climate / Disaster Risk
healthier than 73%
5%
Holding it back
Chronic Disease Burden
healthier than 1%
21%
Social Need / SDOH
healthier than 1%
16%
Preventive Care
healthier than 2%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 4%
8%
Disability
in the bottom 0.00%
7%
Healthcare Access
healthier than 21%
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
25028
West Virginiashares a border
Score 23.54
Closest healthier
25047
West Virginiashares a border
Score 29.43
Similar health profile
24811
West Virginia100% similar profile
Score 18.36
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 | 45.3% | 41.3–49.1 |
| High blood pressure among adults | 53.3% | 48.8–57.5 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.0–11.1 |
| Current asthma among adults | 13.8% | 12.1–15.5 |
| Coronary heart disease among adults | 13.0% | 11.4–14.6 |
| Chronic obstructive pulmonary disease among adults | 17.8% | 15.3–20.2 |
| Depression among adults | 33.1% | 28.6–37.5 |
| Diagnosed diabetes among adults | 21.8% | 19.1–24.6 |
| High cholesterol among adults who have ever been screened | 46.4% | 41.7–51.0 |
| Obesity among adults | 51.1% | 43.2–58.7 |
| Stroke among adults | 6.5% | 5.7–7.3 |
| All teeth lost among adults aged >=65 years | 38.3% | 32.9–44.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.1% | 9.2–15.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.4% | 78.7–83.9 |
| Visits to doctor for routine checkup within the past year among adults | 80.8% | 77.2–84.1 |
| Cholesterol screening among adults | 84.6% | 82.0–87.1 |
| Colorectal cancer screening among adults aged 45–75 years | 56.5% | 51.1–61.7 |
| Visited dentist or dental clinic in the past year among adults | 43.7% | 39.7–47.7 |
| Mammography use among women aged 50-74 years | 67.8% | 59.0–76.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.0% | 9.7–14.5 |
| Current cigarette smoking among adults | 29.9% | 25.6–34.3 |
| No leisure-time physical activity among adults | 46.9% | 40.9–52.9 |
| Short sleep duration among adults | 45.2% | 38.1–52.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 38.2% | 33.5–43.2 |
| Frequent mental distress among adults | 24.8% | 22.1–27.7 |
| Frequent physical distress among adults | 23.8% | 20.9–26.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 25.2% | 21.9–28.6 |
| Any disability among adults | 51.5% | 45.9–56.9 |
| Hearing disability among adults | 12.9% | 11.4–14.5 |
| Independent living disability among adults | 17.0% | 14.6–19.5 |
| Mobility disability among adults | 28.9% | 25.2–32.6 |
| Self-care disability among adults | 8.0% | 6.9–9.3 |
| Vision disability among adults | 10.0% | 8.6–11.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.9% | 22.0–30.1 |
| Food insecurity in the past 12 months among adults | 27.3% | 22.7–32.0 |
| Received food stamps in the past 12 months among adults | 33.8% | 28.8–38.6 |
| Housing insecurity in the past 12 months among adults | 18.1% | 15.1–21.1 |
| Lack of reliable transportation in the past 12 months among adults | 13.6% | 11.6–15.7 |
| Loneliness among adults | 34.4% | 29.2–39.6 |
| Utility services shut-off threat in the past 12 months among adults | 17.0% | 14.6–19.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.7% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 15.6% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 19.4% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 6.3% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 23.6% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 45.6% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 4.4% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 93.4% | 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 | 69.8% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 62.0% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 72.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $90,700 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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