ZIP code
43972
in Bannock, OhioPopulation 109
46.43/ 100
Ranked #20,838 of 32,066 US ZIPs (bottom 35%)
Ranked #647 of 1,176 Ohio ZIPs (bottom 45%)
Ranked #11 of 34 Wheeling, WV-OH ZIPs (top 32%)
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.
Housing-cost burden
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Natural-disaster risk
in the bottom 2.1% nationally
Lower is healthier
ST10thUS2ndDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Expected annual disaster loss
$0
in the bottom 4.2% nationally
Lower is healthier
ST10thUS4thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Transportation noise
14.9%
in the top 4.4% nationally
Lower is healthier
ST96thUS96thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Median household income
$29,182
in the bottom 1.7% nationally
Higher is healthier
ST2ndUS2ndDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Floodplain exposure
22.6%
in the top 15% nationally
Lower is healthier
ST94thUS85thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›High cholesterol
42.6%
in the top 12.6% nationally
Lower is healthier
ST98thUS87thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Dry extreme heat
0.1 days/year
in the bottom 22% nationally
Lower is healthier
ST5thUS22ndDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
In its overall standing, Bannock, Ohio (ZIP 43972) lands in the bottom 35% nationally (20,838th) and the bottom 45% of Ohio (647th).
Several serious readings shape the profile and deserve first mention: modeled transportation noise stands in the top 4.4% nationally, and household income rests in the bottom 1.7% nationally. Fiber broadband registers at the national minimum, shared with about 19% of ZIPs. On the better side, housing-cost burden resides at the national minimum, and modeled disaster risk settles in the bottom 2.1% nationally. Home broadband subscription is at the national maximum, and modeled expected annual loss sits in the bottom 4.2% nationally. Unemployment lands at the national minimum, shared with about 15% of ZIPs. Walkability lies in the top 10.7% nationally. Modeled loud transportation noise stands at the national minimum, shared with about 22% of ZIPs.
Against the wider neighborhood, walkability runs far higher than the surrounding ZIPs on this measure. Put simply, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. On the overall standing, ZIP 43950, 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 Wheeling, WV-OH metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 68%
13%
Healthcare Access
healthier than 60%
5%
About typical
Social Need / SDOH
healthier than 51%
16%
Disability
healthier than 51%
7%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Environmental Hazard
healthier than 28%
14%
Risk Behavior
healthier than 34%
11%
Mental Health
healthier than 25%
8%
Climate / Disaster Risk
healthier than 33%
5%
Lifting this score
Preventive Care
healthier than 69%
13%
Risk Behavior
healthier than 64%
11%
About typical
Social Need / SDOH
healthier than 59%
16%
Environmental Hazard
healthier than 49%
14%
Mental Health
healthier than 53%
8%
Disability
healthier than 44%
7%
Healthcare Access
healthier than 58%
5%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Climate / Disaster Risk
healthier than 6%
5%
Lifting this score
Chronic Disease Burden
healthier than 76%
21%
Social Need / SDOH
healthier than 82%
16%
Preventive Care
healthier than 61%
13%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 79%
8%
Disability
healthier than 73%
7%
About typical
Environmental Hazard
healthier than 52%
14%
Healthcare Access
healthier than 55%
5%
Holding it back
Climate / Disaster Risk
healthier than 3%
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
43950
Ohioshares a border
Score 48.75
Closest healthier
43718
Ohioabout 0.4 mi away
Score 46.55
Similar health profile
41073
Kentucky96% similar profile
Score 48.75
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 | 34.5% | 31.3–37.7 |
| High blood pressure among adults | 40.6% | 36.8–44.2 |
| Cancer (non-skin) or melanoma among adults | 10.7% | 9.5–11.9 |
| Current asthma among adults | 11.1% | 9.7–12.6 |
| Coronary heart disease among adults | 9.0% | 7.6–10.6 |
| Chronic obstructive pulmonary disease among adults | 10.1% | 8.1–12.6 |
| Depression among adults | 26.2% | 22.7–29.8 |
| Diagnosed diabetes among adults | 14.2% | 12.1–16.5 |
| High cholesterol among adults who have ever been screened | 42.6% | 38.8–46.5 |
| Obesity among adults | 37.0% | 31.4–42.6 |
| Stroke among adults | 4.2% | 3.5–5.0 |
| All teeth lost among adults aged >=65 years | 15.2% | 12.6–17.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.8% | 5.3–11.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.5% | 80.2–84.7 |
| Visits to doctor for routine checkup within the past year among adults | 80.0% | 76.9–83.1 |
| Cholesterol screening among adults | 85.5% | 82.6–88.2 |
| Colorectal cancer screening among adults aged 45–75 years | 70.2% | 66.0–74.1 |
| Visited dentist or dental clinic in the past year among adults | 61.9% | 58.8–65.1 |
| Mammography use among women aged 50-74 years | 74.6% | 68.1–80.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.0% | 13.4–18.8 |
| Current cigarette smoking among adults | 16.5% | 12.6–20.5 |
| No leisure-time physical activity among adults | 30.5% | 24.9–36.3 |
| Short sleep duration among adults | 35.7% | 31.4–40.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.2% | 17.0–26.0 |
| Frequent mental distress among adults | 17.7% | 15.3–20.2 |
| Frequent physical distress among adults | 16.1% | 13.5–18.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.6% | 11.9–17.7 |
| Any disability among adults | 33.2% | 28.0–38.7 |
| Hearing disability among adults | 8.4% | 7.2–9.7 |
| Independent living disability among adults | 8.3% | 6.7–10.1 |
| Mobility disability among adults | 15.8% | 12.9–19.2 |
| Self-care disability among adults | 3.8% | 3.1–4.9 |
| Vision disability among adults | 4.8% | 3.9–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.4% | 17.3–25.7 |
| Food insecurity in the past 12 months among adults | 11.5% | 8.3–15.3 |
| Received food stamps in the past 12 months among adults | 8.9% | 6.4–12.0 |
| Housing insecurity in the past 12 months among adults | 8.5% | 6.5–10.7 |
| Lack of reliable transportation in the past 12 months among adults | 6.5% | 5.0–8.1 |
| Loneliness among adults | 35.2% | 29.6–40.9 |
| Utility services shut-off threat in the past 12 months among adults | 5.7% | 4.6–7.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.6% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 42.5% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 4.6% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 4.3% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 0.0% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 82.6% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | — | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 63.3% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 88.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $29,182 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $94,000 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $907 ($714–$1,294) n=1,007 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 75.3 yr ± 3.40 | 78.9 yr (74.7–82.8) n=31,308 | 77.9 yr (74.0–81.3) n=1,154 |
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 3.40 years of 75.3, 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