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ZipVitals

ZIP code

25938

in Victor, West VirginiaPopulation 1,739

32.22/ 100

Ranked #30,257 of 32,066 US ZIPs (bottom 5.7%)

Ranked #442 of 697 West Virginia ZIPs (bottom 37%)

Ranked #36 of 75 Beckley, WV ZIPs (top 48%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Short sleep

46.8%

in the top 1.5% nationally

Lower is healthier

ST93rd
US99th
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Outpatient-care access

1.4 per 1,000 residents

in the top 0.9% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of outpatient clinics 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 ›

Fatal road crashes

0 per 100,000 residents per year

at the national minimum

Lower is healthier

ST1st
US1st
Definition & source ›

The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.

A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.

Full methodology ›

Tooth loss

26.8%

in the top 5.4% nationally

Lower is healthier

ST68th
US95th
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

Tree cover

84.1%

in the top 3.4% nationally

Higher is healthier

ST53rd
US97th
Definition & source ›

The share of this ZIP’s land area covered by forest.

Full methodology ›

High cholesterol

46.3%

in the top 2.3% nationally

Lower is healthier

ST73rd
US98th
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

Fair or poor health

30.2%

in the top 8.0% nationally

Lower is healthier

ST64th
US92nd
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Energy-cost burden

5.5%

in the top 5.3% nationally

Lower is healthier

ST88th
US95th
Definition & source ›

The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.

A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.

Full methodology ›

Housing-cost burden

7.4%

in the bottom 6.7% nationally

Lower is healthier

ST23rd
US7th
Definition & source ›

The share of households spending 30% or more of their income on housing.

Full methodology ›

Diabetes

18.2%

in the top 7.5% nationally

Lower is healthier

ST60th
US93rd
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

The read

Victor, West Virginia (ZIP 25938), by its overall standing, sits in the bottom 5.7% nationally (30,257th) and the bottom 37% of West Virginia (442nd).

continue reading

The profile opens on the burdens that define it most: modeled short sleep registers in the top 1.5% nationally, tooth loss stands in the top 5.4% nationally, and high cholesterol lands in the top 2.3% nationally. Modeled fair or poor health is in the top 8.0% nationally, energy burden resides in the top 5.3% nationally, and diabetes rests in the top 7.5% nationally. More positively, outpatient lies in the top 0.9% nationally, and fatal road crashes sits at the national minimum. Modeled tree cover settles in the top 3.4% nationally, and housing-cost burden registers in the bottom 6.7% nationally.

Held up against its neighbors, outpatient runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, energy burden is the share of household income that goes to home energy bills. The nearest ZIP ranking healthier overall is ZIP 25837, 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 Beckley, WV metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Environmental Hazard

healthier than 84%

14%

Climate / Disaster Risk

healthier than 75%

5%

Healthcare Access

healthier than 74%

5%

About typical

Preventive Care

healthier than 45%

13%

Holding it back

Chronic Disease Burden

healthier than 4%

21%

Social Need / SDOH

healthier than 9%

16%

Risk Behavior

healthier than 3%

11%

Mental Health

healthier than 1%

8%

Disability

healthier than 12%

7%

Lifting this score

Environmental Hazard

healthier than 75%

14%

Climate / Disaster Risk

healthier than 67%

5%

Healthcare Access

healthier than 84%

5%

About typical

Chronic Disease Burden

healthier than 43%

21%

Disability

healthier than 43%

7%

Holding it back

Social Need / SDOH

healthier than 23%

16%

Preventive Care

healthier than 40%

13%

Risk Behavior

healthier than 25%

11%

Mental Health

healthier than 28%

8%

Lifting this score

Environmental Hazard

healthier than 67%

14%

Healthcare Access

healthier than 85%

5%

About typical

Chronic Disease Burden

healthier than 55%

21%

Preventive Care

healthier than 42%

13%

Risk Behavior

healthier than 42%

11%

Mental Health

healthier than 45%

8%

Disability

healthier than 56%

7%

Climate / Disaster Risk

healthier than 44%

5%

Holding it back

Social Need / SDOH

healthier than 40%

16%

“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 84.5; chronic-disease standing 3.8 (bottom 10%) — 81 points apart, cleaner on the environment than it is on chronic illness.

    Ranked #462 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.

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
MeasureCrude prevalence95% CI
Arthritis among adults41.1%37.3–44.7
High blood pressure among adults45.9%41.7–49.9
Cancer (non-skin) or melanoma among adults10.2%9.1–11.3
Current asthma among adults12.8%11.3–14.4
Coronary heart disease among adults10.0%8.7–11.5
Chronic obstructive pulmonary disease among adults13.2%11.0–15.4
Depression among adults32.2%28.1–36.3
Diagnosed diabetes among adults18.2%15.7–20.8
High cholesterol among adults who have ever been screened46.3%42.0–50.4
Obesity among adults40.8%34.3–47.3
Stroke among adults4.8%4.1–5.5
All teeth lost among adults aged >=65 years26.8%22.6–31.1
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years9.4%7.3–11.9
Taking medicine to control high blood pressure among adults with high blood pressure80.8%78.0–83.2
Visits to doctor for routine checkup within the past year among adults80.4%77.0–83.5
Cholesterol screening among adults86.6%84.3–88.7
Colorectal cancer screening among adults aged 45–75 years66.9%62.1–71.5
Visited dentist or dental clinic in the past year among adults48.3%44.5–52.0
Mammography use among women aged 50-74 years74.4%67.0–80.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults12.7%10.5–15.3
Current cigarette smoking among adults23.4%19.1–27.4
No leisure-time physical activity among adults37.1%31.2–42.6
Short sleep duration among adults46.8%41.0–52.6
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults30.2%25.6–34.6
Frequent mental distress among adults22.6%19.9–25.2
Frequent physical distress among adults19.7%16.8–22.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults20.4%17.4–23.4
Any disability among adults44.2%38.6–49.4
Hearing disability among adults10.3%9.0–11.7
Independent living disability among adults12.3%10.5–14.2
Mobility disability among adults21.8%18.3–25.1
Self-care disability among adults5.4%4.5–6.3
Vision disability among adults6.6%5.7–7.7
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults24.4%20.4–28.5
Food insecurity in the past 12 months among adults18.6%14.6–22.9
Received food stamps in the past 12 months among adults21.6%17.2–26.2
Housing insecurity in the past 12 months among adults13.7%11.1–16.4
Lack of reliable transportation in the past 12 months among adults9.8%8.2–11.6
Loneliness among adults36.0%30.9–41.5
Utility services shut-off threat in the past 12 months among adults12.1%10.1–14.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WV median (p10–p90)
Poverty rate9.4%10.6% (3.1–25.8%) n=32,36416.3% (0.0–41.0%) n=694
Uninsured 18–649.8%9.0% (1.5–24.3%) n=32,2867.1% (0.0–21.5%) n=682
No HS diploma (25+)17.1%7.9% (1.8–20.7%) n=32,50511.8% (0.9–29.6%) n=695
Bachelor's or higher (25+)12.1%23.3% (9.2–53.6%) n=32,50514.1% (0.0–32.5%) n=695
Unemployment rate (16+)4.5%3.9% (0.0–9.8%) n=32,2743.4% (0.0–17.9%) n=668
Households without a vehicle8.6%3.9% (0.0–12.5%) n=32,3224.3% (0.0–17.1%) n=694
Broadband subscription78.4%89.3% (75.1–97.1%) n=32,32285.7% (62.6–100.0%) n=694
Housing cost burden (≥30% income)7.4%23.7% (10.6–40.0%) n=32,32216.7% (0.0–34.6%) n=694
Homeownership rate79.1%78.7% (51.7–94.0%) n=32,32284.0% (61.6–100.0%) n=694
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3220.0% (0.0–4.1%) n=694
Foreign-born population0.0%2.6% (0.0–18.6%) n=32,5530.0% (0.0–2.1%) n=696
Single-parent households78.6%53.6% (37.3–74.1%) n=32,08757.0% (31.3–90.6%) n=686
Population 65+8.5%19.4% (10.8–33.6%) n=32,55322.0% (10.4–45.0%) n=696
Median age44.3 yr42.2 yr (33.0–56.3) n=32,29245.9 yr (32.6–62.1) n=681
Median household income$59,833$72,070 ($46,039–$118,707) n=30,318$55,088 ($33,083–$85,218) n=539
Median home value$99,300$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
MeasureValueUS median (p10–p90)WV median (p10–p90)
Life expectancy at birth77.8 yr ± 1.5678.9 yr (74.7–82.8) n=31,30876.2 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 1.56 years of 77.8, and it’s very unlikely to be off by more than twice that.

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