ZIP code
41073
in Bellevue, KentuckyPopulation 5,636
48.75/ 100
Ranked #18,000 of 32,066 US ZIPs (bottom 44%)
Ranked #82 of 742 Kentucky ZIPs (top 11.1%)
Ranked #83 of 156 Cincinnati, OH-KY-IN ZIPs (bottom 47%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
Some domains have limited local data — read this Score as directional
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.
Walkability
170 intersections/sq mi
in the top 3.7% nationally
Higher is healthier
ST98thUS96thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
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 ›Fatal road crashes
1.8 per 100,000 residents per year
in the bottom 6.2% nationally
Lower is healthier
ST4thUS6thDefinition & 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 ›Industrial-pollution burden
in the top 6.6% nationally
Lower is healthier
ST93rdUS93rdDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Grocery access
0.18 per 1,000 residents
in the top 8.7% nationally
Higher is healthier
ST94thUS91stDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Outer-floodplain exposure
2.6%
in the top 12.3% nationally
Lower is healthier
ST94thUS88thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
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 ›Transit access
2.2 per 1,000 residents
in the top 13.5% nationally
Higher is healthier
ST97thUS87thDefinition & source ›
The number of public-transit stops 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 ›Physician access
1.3 per 1,000 residents
in the top 14.6% nationally
Higher is healthier
ST91stUS85thDefinition & 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 ›Mammography
77.6%
in the top 29% nationally
Higher is healthier
ST97thUS71stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Radon
1.3 pCi/L
in the bottom 37% nationally
Lower is healthier
ST6thUS37thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
Given how limited the coverage is here, Bellevue, Kentucky (ZIP 41073) lands in the bottom 44% nationally (18,000th) and the top 11.1% of Kentucky (82nd), based on limited data; treat as directional.
Where the data reaches, it shows a few things about this area: walkability is in the top 3.7% nationally, and lead in tap water settles at the national minimum. Fatal road crashes resides in the bottom 6.2% nationally, and grocery registers in the top 8.7% nationally. Fiber broadband rests in the top 11.3% nationally, and transit stands in the top 13.5% nationally. By contrast, modeled industrial-pollution burden lies in the top 6.6% nationally, PFAS in drinking water lands in the top 12.1% nationally, and outer-floodplain exposure sits in the top 12.3% nationally. Modeled transportation noise is in the top 13.5% nationally.
Set beside the nearby areas, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. A note on the terms: lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. PFAS in drinking water is the family of man-made "forever chemicals" that build up in the body and environment instead of breaking down. For a healthier nearby comparison, ZIP 41075, just across the boundary, ranks better overall.
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 Cincinnati, OH-KY-IN metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 64%
19%
Preventive CarePartial
healthier than 75%
15%
Healthcare Access
healthier than 79%
6%
Holding it back
Environmental Hazard
healthier than 36%
16%
Climate / Disaster Risk
healthier than 35%
6%
Not placed: Chronic Disease Burden and Risk Behavior — too little of each is measured here to compare reliably. They still count toward the score (together 38% of it); we just will not publish a standing we cannot stand behind.
No data: Mental Health and Disability — not measured in this ZIP, so it is left out of the score entirely rather than estimated.
Lifting this score
Social Need / SDOH
in the top 0.00%
19%
Environmental Hazard
healthier than 78%
16%
Preventive CarePartial
in the top 0.00%
15%
Holding it back
Climate / Disaster Risk
in the bottom 0.00%
6%
Healthcare Access
in the bottom 0.00%
6%
Not placed: Chronic Disease Burden and Risk Behavior — too little of each is measured here to compare reliably. They still count toward the score (together 38% of it); we just will not publish a standing we cannot stand behind.
No data: Mental Health and Disability — not measured in this ZIP, so it is left out of the score entirely rather than estimated.
Lifting this score
Environmental Hazard
healthier than 61%
16%
Preventive CarePartial
healthier than 66%
15%
About typical
Social Need / SDOH
healthier than 52%
19%
Healthcare Access
healthier than 58%
6%
Holding it back
Climate / Disaster Risk
healthier than 13%
6%
Not placed: Chronic Disease Burden and Risk Behavior — too little of each is measured here to compare reliably. They still count toward the score (together 38% of it); we just will not publish a standing we cannot stand behind.
No data: Mental Health and Disability — not measured in this ZIP, so it is left out of the score entirely rather than estimated.
“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
41071
Kentuckyshares a border
Score 44.24
Closest healthier
41075
Kentuckyshares a border
Score 60.53
Similar health profile
26038
West Virginia97% similar profile
Score 46.94
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 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| All teeth lost among adults aged >=65 years | 17.4% | 14.6–20.7 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 68.9% | 64.5–73.2 |
| Visited dentist or dental clinic in the past year among adults | 63.2% | 59.9–66.6 |
| Mammography use among women aged 50-74 years | 77.6% | 70.6–83.6 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 37.2% | 31.4–43.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.4% | 10.6% (3.1–25.8%) n=32,364 | 17.1% (4.6–39.2%) n=747 |
| Uninsured 18–64 | 9.3% | 9.0% (1.5–24.3%) n=32,286 | 6.9% (0.0–16.5%) n=741 |
| No HS diploma (25+) | 2.5% | 7.9% (1.8–20.7%) n=32,505 | 13.7% (3.8–29.1%) n=748 |
| Bachelor's or higher (25+) | 43.5% | 23.3% (9.2–53.6%) n=32,505 | 14.8% (1.5–33.6%) n=748 |
| Unemployment rate (16+) | 2.2% | 3.9% (0.0–9.8%) n=32,274 | 3.8% (0.0–11.2%) n=733 |
| Households without a vehicle | 4.2% | 3.9% (0.0–12.5%) n=32,322 | 4.6% (0.0–15.0%) n=745 |
| Broadband subscription | 94.5% | 89.3% (75.1–97.1%) n=32,322 | 86.7% (71.5–97.1%) n=745 |
| Housing cost burden (≥30% income) | 29.0% | 23.7% (10.6–40.0%) n=32,322 | 20.9% (6.2–34.7%) n=745 |
| Homeownership rate | 70.1% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (58.2–96.7%) n=745 |
| Crowded housing (>1 per room) | 4.3% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.8%) n=745 |
| Foreign-born population | 1.7% | 2.6% (0.0–18.6%) n=32,553 | 0.3% (0.0–5.4%) n=749 |
| Single-parent households | 56.4% | 53.6% (37.3–74.1%) n=32,087 | 52.0% (34.7–75.0%) n=738 |
| Population 65+ | 13.6% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (9.6–29.6%) n=749 |
| Median age | 35.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.8 yr (32.3–53.9) n=738 |
| Median household income | $71,166 | $72,070 ($46,039–$118,707) n=30,318 | $57,097 ($34,611–$87,693) n=645 |
| Median home value | $206,500 | $222,200 ($100,300–$579,820) n=30,049 | $144,600 ($66,860–$265,120) n=643 |
| Median gross rent | $1,265 | $1,021 ($677–$1,912) n=25,670 | $821 ($592–$1,170) n=466 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | KY median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 76.2 yr ± 1.64 | 78.9 yr (74.7–82.8) n=31,308 | 74.8 yr (71.5–78.1) n=739 |
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 1.64 years of 76.2, 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