ZIP code
25136
in Montgomery, West VirginiaPopulation 1,543
25.94/ 100
Ranked #31,364 of 32,066 US ZIPs (bottom 2.2%)
Ranked #590 of 697 West Virginia ZIPs (bottom 15%)
Ranked #62 of 75 Beckley, WV ZIPs (bottom 17%)
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
33.4%
in the top 1.7% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Civic-institution access
2.9 per 1,000 residents
in the top 0.5% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Dental provider access
2.2 per 1,000 residents
in the top 1.0% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of dental offices located 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 ›Short sleep
46.6%
in the top 1.6% nationally
Lower is healthier
ST92ndUS98thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Independent-living disability
14.9%
in the top 2.7% nationally
Lower is healthier
ST87thUS97thDefinition & 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 ›Diabetes
20.9%
in the top 2.6% nationally
Lower is healthier
ST87thUS97thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Mobility disability
26.2%
in the top 2.2% nationally
Lower is healthier
ST88thUS98thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Households without a vehicle
38.1%
in the top 1.7% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Physician access
4.4 per 1,000 residents
in the top 1.7% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of physicians’ offices located 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 ›Fair or poor health
33.5%
in the top 3.8% nationally
Lower is healthier
ST83rdUS96thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
In its overall standing, Montgomery, West Virginia (ZIP 25136) lands in the bottom 2.2% nationally (31,364th) and the bottom 15% of West Virginia (590th).
Reading across the data, the real pressures come first: modeled tooth loss resides in the top 1.7% nationally, short sleep settles in the top 1.6% nationally, and independent living disability is in the top 2.7% nationally. Modeled diabetes sits in the top 2.6% nationally, modeled mobility disability lands in the top 2.2% nationally, and households without a vehicle lies in the top 1.7% nationally. Modeled fair or poor health stands in the top 3.8% nationally. More encouragingly, civic rests in the top 0.5% nationally, and dental providers registers in the top 1.0% nationally. Physicians resides in the top 1.7% nationally.
Against the wider neighborhood, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. On the overall standing, ZIP 25031, just across the boundary, ranks healthier.
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 Beckley, WV metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 89%
5%
About typical
Preventive Care
healthier than 48%
13%
Climate / Disaster Risk
healthier than 51%
5%
Holding it back
Chronic Disease Burden
in the bottom 1.0%
21%
Social Need / SDOH
healthier than 5%
16%
Environmental Hazard
healthier than 29%
14%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 3%
7%
Lifting this score
Healthcare Access
healthier than 94%
5%
About typical
Preventive Care
healthier than 44%
13%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 12%
16%
Environmental Hazard
healthier than 21%
14%
Risk Behavior
healthier than 20%
11%
Mental Health
healthier than 37%
8%
Disability
healthier than 14%
7%
Climate / Disaster Risk
healthier than 11%
5%
Lifting this score
Healthcare Access
healthier than 96%
5%
About typical
Preventive Care
healthier than 47%
13%
Mental Health
healthier than 58%
8%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 21%
16%
Environmental Hazard
healthier than 7%
14%
Risk Behavior
healthier than 32%
11%
Disability
healthier than 16%
7%
Climate / Disaster Risk
healthier than 4%
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
25031
West Virginiashares a border
Score 30.16
Closest healthier
25102
West Virginiashares a border
Score 29.50
Similar health profile
25646
West Virginia99% similar profile
Score 25.92
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 | 42.8% | 40.0–45.3 |
| High blood pressure among adults | 51.1% | 48.1–53.9 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.4–11.1 |
| Current asthma among adults | 13.2% | 12.0–14.5 |
| Coronary heart disease among adults | 11.3% | 10.2–12.4 |
| Chronic obstructive pulmonary disease among adults | 14.3% | 12.6–16.0 |
| Depression among adults | 30.7% | 27.8–33.5 |
| Diagnosed diabetes among adults | 20.9% | 18.9–22.9 |
| High cholesterol among adults who have ever been screened | 46.2% | 43.2–49.1 |
| Obesity among adults | 43.3% | 38.9–47.6 |
| Stroke among adults | 5.9% | 5.3–6.5 |
| All teeth lost among adults aged >=65 years | 33.4% | 29.5–37.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.3% | 8.6–12.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.8% | 79.9–83.6 |
| Visits to doctor for routine checkup within the past year among adults | 82.3% | 80.0–84.4 |
| Cholesterol screening among adults | 86.6% | 85.0–88.2 |
| Colorectal cancer screening among adults aged 45–75 years | 64.8% | 61.4–67.8 |
| Visited dentist or dental clinic in the past year among adults | 47.4% | 44.5–50.2 |
| Mammography use among women aged 50-74 years | 75.5% | 70.2–79.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.7% | 10.1–13.4 |
| Current cigarette smoking among adults | 23.9% | 21.1–26.5 |
| No leisure-time physical activity among adults | 41.1% | 37.0–45.0 |
| Short sleep duration among adults | 46.6% | 42.6–50.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 33.5% | 30.2–36.8 |
| Frequent mental distress among adults | 22.9% | 21.0–24.9 |
| Frequent physical distress among adults | 20.9% | 18.9–22.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.0% | 19.9–24.3 |
| Any disability among adults | 48.3% | 44.6–51.8 |
| Hearing disability among adults | 11.3% | 10.1–12.5 |
| Independent living disability among adults | 14.9% | 13.3–16.6 |
| Mobility disability among adults | 26.2% | 23.6–28.7 |
| Self-care disability among adults | 6.8% | 6.1–7.7 |
| Vision disability among adults | 8.7% | 7.7–9.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.8% | 24.1–29.7 |
| Food insecurity in the past 12 months among adults | 24.8% | 22.1–27.6 |
| Received food stamps in the past 12 months among adults | 28.4% | 25.4–31.7 |
| Housing insecurity in the past 12 months among adults | 17.6% | 15.7–19.7 |
| Lack of reliable transportation in the past 12 months among adults | 12.5% | 11.2–14.0 |
| Loneliness among adults | 36.8% | 33.4–40.4 |
| Utility services shut-off threat in the past 12 months among adults | 16.2% | 14.6–17.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 27.7% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 2.3% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 13.6% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 19.9% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 10.2% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 38.1% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 75.3% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 43.4% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 37.7% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 0.6% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 0.3% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 39.1% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 28.7% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 46.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $28,173 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $126,100 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $671 | $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 | 75.1 yr ± 1.25 | 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 1.25 years of 75.1, 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