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ZIP code

26184

in Waverly, West VirginiaPopulation 2,352

ZipVitals Score
How is the ZipVitals Score calculated? →

42.74/ 100

Ranked #24,598 of 32,066 US ZIPs (bottom 23%)

Ranked #104 of 697 West Virginia ZIPs (top 15.0%)

Ranked #6 of 13 Parkersburg-Vienna, WV ZIPs (top 46%)

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.

Tree cover

81.2%

in the top 4.5% nationally

Higher is healthier

ST46th
US96th
Definition & source ›

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

Full methodology ›

PFOA in drinking water

96.3%

in the top 5.8% nationally

Lower is healthier

ST99th
US94th
Definition & source ›

The share of residents served by public water systems where PFOA, one of the man-made “forever chemicals,” was detected in EPA testing.

Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.

Full methodology ›

Short sleep

42.2%

in the top 8.6% nationally

Lower is healthier

ST46th
US91st
Definition & source ›

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

Full methodology ›

Obesity

42.9%

in the top 9.4% nationally

Lower is healthier

ST56th
US91st
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

High cholesterol

43.2%

in the top 9.8% nationally

Lower is healthier

ST23rd
US90th
Definition & source ›

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

Full methodology ›

PFAS in drinking water

96.3%

in the top 14.5% nationally

Lower is healthier

ST98th
US86th
Definition & source ›

The share of residents served by public water systems where PFAS — man-made “forever chemicals” that build up in the body and environment instead of breaking down — were detected in EPA testing.

Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.

Full methodology ›

Energy-cost burden

2.0%

in the bottom 13.8% nationally

Lower is healthier

ST2nd
US14th
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 ›

Uninsured (under 65)

6.7%

in the bottom 23% nationally

Lower is healthier

ST4th
US23rd
Definition & source ›

The estimated share of adults aged 18–64 with no current health-insurance coverage.

Full methodology ›

Utility shut-off threat

9.0%

in the top 30% nationally

Lower is healthier

ST9th
US70th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

The read

Waverly, West Virginia (ZIP 26184), on the composite measure, lands in the bottom 23% nationally (24,598th) and the top 15.0% of West Virginia (104th).

continue reading

The readings split fairly evenly between strengths and concerns: modeled tree cover stands in the top 4.5% nationally. Crowded housing is at the national minimum, shared with about 29% of ZIPs. Modeled energy burden rests in the bottom 13.8% nationally. Working the other way, PFOA in drinking water sits in the top 5.8% nationally, and modeled short sleep registers in the top 8.6% nationally. Fiber broadband lands at the national minimum, shared with about 19% of ZIPs. Modeled obesity resides in the top 9.4% nationally, and high cholesterol lies in the top 9.8% nationally. PFAS in drinking water settles in the top 14.5% nationally, and modeled high blood pressure stands in the top 13.9% nationally.

Set against the neighboring ZIPs, park land runs far lower than the surrounding ZIPs on this measure. In everyday language, PFOA in drinking water is one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. PFAS in drinking water is the family of man-made "forever chemicals" that build up in the body and environment instead of breaking down. Energy burden is the share of household income that goes to home energy bills. A healthier neighbor overall sits at ZIP 26187, 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 Parkersburg-Vienna, 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

Social Need / SDOH

healthier than 70%

16%

Preventive Care

healthier than 76%

13%

About typical

Climate / Disaster Risk

healthier than 58%

5%

Healthcare Access

healthier than 48%

5%

Holding it back

Chronic Disease Burden

healthier than 14%

21%

Environmental Hazard

healthier than 36%

14%

Risk Behavior

healthier than 15%

11%

Mental Health

healthier than 4%

8%

Disability

healthier than 40%

7%

Lifting this score

Chronic Disease Burden

healthier than 84%

21%

Social Need / SDOH

healthier than 95%

16%

Preventive Care

healthier than 89%

13%

Risk Behavior

healthier than 78%

11%

Mental Health

healthier than 68%

8%

Disability

healthier than 90%

7%

About typical

Healthcare Access

healthier than 42%

5%

Holding it back

Environmental Hazard

healthier than 27%

14%

Climate / Disaster Risk

healthier than 19%

5%

Lifting this score

Social Need / SDOH

healthier than 67%

16%

Environmental Hazard

healthier than 75%

14%

Mental Health

healthier than 67%

8%

Disability

healthier than 67%

7%

Climate / Disaster Risk

healthier than 75%

5%

About typical

Chronic Disease Burden

healthier than 50%

21%

Preventive Care

healthier than 50%

13%

Risk Behavior

healthier than 58%

11%

Holding it back

Healthcare Access

healthier than 17%

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.

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 adults38.5%35.3–41.7
High blood pressure among adults44.5%40.9–48.1
Cancer (non-skin) or melanoma among adults10.0%9.2–11.0
Current asthma among adults11.9%10.7–13.4
Coronary heart disease among adults8.3%7.5–9.2
Chronic obstructive pulmonary disease among adults9.7%8.5–10.9
Depression among adults31.4%27.8–35.2
Diagnosed diabetes among adults15.8%13.9–17.7
High cholesterol among adults who have ever been screened43.2%39.6–46.9
Obesity among adults42.9%37.4–48.4
Stroke among adults3.8%3.5–4.2
All teeth lost among adults aged >=65 years19.9%16.8–23.3
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years6.7%5.5–8.1
Taking medicine to control high blood pressure among adults with high blood pressure80.3%77.7–82.6
Visits to doctor for routine checkup within the past year among adults82.3%79.5–84.8
Cholesterol screening among adults88.8%87.3–90.3
Colorectal cancer screening among adults aged 45–75 years68.5%64.6–72.4
Visited dentist or dental clinic in the past year among adults56.4%53.1–59.7
Mammography use among women aged 50-74 years76.6%70.6–81.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults15.0%12.6–17.5
Current cigarette smoking among adults17.8%15.3–20.3
No leisure-time physical activity among adults30.7%26.7–34.8
Short sleep duration among adults42.2%37.6–47.0
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults23.1%20.4–26.0
Frequent mental distress among adults20.2%18.1–22.4
Frequent physical distress among adults16.6%14.8–18.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults17.1%15.2–19.1
Any disability among adults36.2%32.3–40.2
Hearing disability among adults8.1%7.3–9.1
Independent living disability among adults9.5%8.4–10.6
Mobility disability among adults17.0%15.0–19.2
Self-care disability among adults4.0%3.6–4.5
Vision disability among adults4.8%4.3–5.3
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults21.5%18.7–24.6
Food insecurity in the past 12 months among adults13.0%11.1–15.2
Received food stamps in the past 12 months among adults13.6%11.6–16.0
Housing insecurity in the past 12 months among adults10.4%9.0–12.1
Lack of reliable transportation in the past 12 months among adults7.4%6.5–8.4
Loneliness among adults32.2%28.4–36.2
Utility services shut-off threat in the past 12 months among adults9.0%7.9–10.3
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WV median (p10–p90)
Poverty rate11.7%10.6% (3.1–25.8%) n=32,36416.3% (0.0–41.0%) n=694
Uninsured 18–645.8%9.0% (1.5–24.3%) n=32,2867.1% (0.0–21.5%) n=682
No HS diploma (25+)4.7%7.9% (1.8–20.7%) n=32,50511.8% (0.9–29.6%) n=695
Bachelor's or higher (25+)19.7%23.3% (9.2–53.6%) n=32,50514.1% (0.0–32.5%) n=695
Unemployment rate (16+)2.9%3.9% (0.0–9.8%) n=32,2743.4% (0.0–17.9%) n=668
Households without a vehicle2.8%3.9% (0.0–12.5%) n=32,3224.3% (0.0–17.1%) n=694
Broadband subscription87.4%89.3% (75.1–97.1%) n=32,32285.7% (62.6–100.0%) n=694
Housing cost burden (≥30% income)23.0%23.7% (10.6–40.0%) n=32,32216.7% (0.0–34.6%) n=694
Homeownership rate90.9%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 population0.9%2.6% (0.0–18.6%) n=32,5530.0% (0.0–2.1%) n=696
Single-parent households60.4%53.6% (37.3–74.1%) n=32,08757.0% (31.3–90.6%) n=686
Population 65+16.2%19.4% (10.8–33.6%) n=32,55322.0% (10.4–45.0%) n=696
Median age46.3 yr42.2 yr (33.0–56.3) n=32,29245.9 yr (32.6–62.1) n=681
Median household income$62,550$72,070 ($46,039–$118,707) n=30,318$55,088 ($33,083–$85,218) n=539
Median home value$165,600$222,200 ($100,300–$579,820) n=30,049$125,600 ($66,920–$223,500) n=553
Median gross rent$649$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 birth77.5 yr ± 0.9678.9 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 0.96 years of 77.5, 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