ZIP code
45410
in Dayton, OhioPopulation 14,694
40.24/ 100
Ranked #26,588 of 32,066 US ZIPs (bottom 17%)
Ranked #967 of 1,176 Ohio ZIPs (bottom 18%)
Ranked #49 of 57 Dayton-Kettering-Beavercreek, OH ZIPs (bottom 14.1%)
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.
Lead in tap water
470 ppb
in the top 0.01% nationally
Lower is healthier
US99thDefinition & 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 ›PFOS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents served by public water systems where PFOS, one of the most common “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 ›Walkability
210 intersections/sq mi
in the top 2.2% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Industrial-pollution burden
in the top 4.1% nationally
Lower is healthier
ST93rdUS96thDefinition & 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 ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›PFAS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & 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 ›Subsidized affordable housing
374 units
in the top 6.4% nationally
Higher is healthier
ST93rdUS94thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Tooth loss
24.6%
in the top 7.8% nationally
Lower is healthier
ST91stUS92ndDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›High cholesterol
31.5%
in the bottom 5.5% nationally
Lower is healthier
ST3rdUS5thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›The read
ZIP 45410, one of several in Dayton, Ohio, on the composite measure, lands in the bottom 17% nationally (26,588th) and the bottom 18% of Ohio (967th).
The main burdens in the data show plainly and lead the picture: lead in tap water rests in the top 0.01% nationally, PFOS in drinking water sits at the national maximum, and modeled industrial-pollution burden registers in the top 4.1% nationally. Modeled tree cover lands at the national minimum, PFAS in drinking water resides at the national maximum, and modeled tooth loss lies in the top 7.8% nationally. More positively, walkability settles in the top 2.2% nationally, and floodplain exposure stands at the national minimum. Subsidized affordable housing is in the top 6.4% nationally, and modeled high cholesterol rests in the bottom 5.5% nationally.
Set against the neighboring ZIPs, lead in tap water runs far higher than the surrounding ZIPs on this measure. In everyday language, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. PFOS in drinking water is a common one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. A healthier neighbor overall sits at ZIP 45409, 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 Dayton-Kettering-Beavercreek, OH metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 78%
5%
Healthcare Access
healthier than 82%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Holding it back
Social Need / SDOH
healthier than 25%
16%
Environmental Hazard
healthier than 6%
14%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 37%
7%
Lifting this score
Chronic Disease Burden
healthier than 67%
21%
Climate / Disaster Risk
healthier than 71%
5%
Healthcare Access
healthier than 80%
5%
Holding it back
Social Need / SDOH
healthier than 24%
16%
Environmental Hazard
healthier than 10%
14%
Preventive Care
healthier than 6%
13%
Risk Behavior
healthier than 11%
11%
Mental Health
healthier than 7%
8%
Disability
healthier than 26%
7%
Lifting this score
Climate / Disaster Risk
healthier than 91%
5%
Healthcare Access
healthier than 71%
5%
About typical
Chronic Disease Burden
healthier than 45%
21%
Holding it back
Social Need / SDOH
healthier than 14%
16%
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 11%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 18%
7%
“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
2 of our published findings list 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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 73.2 ± 1.7 years. A median household income of $46,651 predicts 77.1 years — 3.9 years below.
Ranked #5,007 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 73.2 ± 1.7 years. The 48 nearest ZIP codes with estimates average 77.2 years — 4.0 years below them.
Ranked #3,024 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
45402
Ohioshares a border
Score 38.31
Closest healthier
45409
Ohioshares a border
Score 51.61
Similar health profile
43204
Ohio99% similar profile
Score 41.61
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 | 26.4% | 23.9–29.0 |
| High blood pressure among adults | 34.3% | 31.2–37.4 |
| Cancer (non-skin) or melanoma among adults | 6.7% | 6.1–7.3 |
| Current asthma among adults | 12.0% | 10.7–13.4 |
| Coronary heart disease among adults | 6.7% | 6.1–7.5 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 8.2–10.2 |
| Depression among adults | 28.9% | 25.7–32.4 |
| Diagnosed diabetes among adults | 13.8% | 12.3–15.5 |
| High cholesterol among adults who have ever been screened | 31.5% | 28.4–34.7 |
| Obesity among adults | 39.6% | 34.7–44.7 |
| Stroke among adults | 3.6% | 3.3–3.9 |
| All teeth lost among adults aged >=65 years | 24.6% | 21.0–28.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.9% | 9.3–12.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.8% | 71.0–76.5 |
| Visits to doctor for routine checkup within the past year among adults | 77.3% | 74.1–80.4 |
| Cholesterol screening among adults | 81.3% | 79.1–83.3 |
| Colorectal cancer screening among adults aged 45–75 years | 60.2% | 56.1–64.3 |
| Visited dentist or dental clinic in the past year among adults | 52.2% | 49.0–55.5 |
| Mammography use among women aged 50-74 years | 70.6% | 63.7–76.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.2% | 14.5–20.1 |
| Current cigarette smoking among adults | 19.8% | 17.5–22.3 |
| No leisure-time physical activity among adults | 32.2% | 28.5–36.0 |
| Short sleep duration among adults | 42.0% | 37.8–46.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.4% | 21.9–27.0 |
| Frequent mental distress among adults | 21.0% | 19.0–23.3 |
| Frequent physical distress among adults | 15.5% | 13.9–17.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.7% | 16.0–19.6 |
| Any disability among adults | 33.5% | 30.0–37.1 |
| Hearing disability among adults | 6.4% | 5.7–7.1 |
| Independent living disability among adults | 10.3% | 9.3–11.4 |
| Mobility disability among adults | 14.8% | 13.2–16.6 |
| Self-care disability among adults | 4.8% | 4.4–5.3 |
| Vision disability among adults | 6.2% | 5.7–6.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.2% | 19.1–25.5 |
| Food insecurity in the past 12 months among adults | 20.8% | 18.2–23.7 |
| Received food stamps in the past 12 months among adults | 19.4% | 17.1–22.0 |
| Housing insecurity in the past 12 months among adults | 16.3% | 14.2–18.6 |
| Lack of reliable transportation in the past 12 months among adults | 11.6% | 10.3–13.0 |
| Loneliness among adults | 38.0% | 33.4–42.9 |
| Utility services shut-off threat in the past 12 months among adults | 12.5% | 11.0–14.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.1% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 9.6% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 12.1% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 22.4% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 4.5% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 13.4% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 89.0% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 39.0% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 49.3% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 1.1% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 4.5% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 42.8% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 12.7% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 33.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $46,651 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $110,600 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $986 | $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 | 73.2 yr ± 0.88 | 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 0.88 years of 73.2, 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