ZIP code
45662
in Portsmouth, OhioPopulation 26,909
28.91/ 100
Ranked #30,965 of 32,066 US ZIPs (bottom 3.5%)
Ranked #1,141 of 1,176 Ohio ZIPs (bottom 3.0%)
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.
Tooth loss
27.4%
in the top 4.9% nationally
Lower is healthier
ST94thUS95thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Obesity
46.9%
in the top 2.2% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Short sleep
44.2%
in the top 4.2% nationally
Lower is healthier
ST94thUS96thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Independent-living disability
13.4%
in the top 5.5% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Mammography
66.6%
in the bottom 4.8% nationally
Higher is healthier
ST2ndUS5thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Poverty rate
31%
in the top 6.3% nationally
Lower is healthier
ST93rdUS94thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Cognitive disability
20.3%
in the top 8.2% nationally
Lower is healthier
ST96thUS92ndDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Self-care disability
6.5%
in the top 8.5% nationally
Lower is healthier
ST94thUS92ndDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Subsidized affordable housing
301 units
in the top 8.2% nationally
Higher is healthier
ST91stUS92ndDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Households without a vehicle
13.8%
in the top 8.5% nationally
Lower is healthier
ST89thUS92ndDefinition & source ›
The share of households with no vehicle available.
Full methodology ›The read
On the composite measure, Portsmouth, Ohio (ZIP 45662) stands in the bottom 3.5% nationally (30,965th) and the bottom 3.0% of Ohio (1,141st).
Several signals sit on each side of the ledger here: distance to an emergency room rests at the national minimum, shared with about 11% of ZIPs. Subsidized affordable housing lands in the top 8.2% nationally. Working the other way, modeled tooth loss settles in the top 4.9% nationally, obesity rests in the top 2.2% nationally, and short sleep lands in the top 4.2% nationally. Modeled independent living disability settles in the top 5.5% nationally, modeled mammography rests in the bottom 4.8% nationally, and poverty lands in the top 6.3% nationally. Modeled cognitive disability settles in the top 8.2% nationally, and self-care disability rests in the top 8.5% nationally.
Set beside the wider area around it, park land runs far higher than the surrounding ZIPs on this measure. For clarity, subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. ZIP 45648, just across the boundary, ranks better overall among the ZIPs nearby.
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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 6%
21%
Social Need / SDOH
healthier than 6%
16%
Environmental Hazard
healthier than 28%
14%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 8%
7%
Climate / Disaster Risk
healthier than 40%
5%
Lifting this score
Healthcare Access
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 49%
14%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 7%
13%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 4%
7%
Climate / Disaster Risk
healthier than 8%
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 ›
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 72.5 ± 1.3 years. A median household income of $36,504 predicts 76.1 years — 3.6 years below.
Ranked #4,760 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 72.5 ± 1.3 years. The 47 nearest ZIP codes with estimates average 74.6 years — 2.1 years below them.
Ranked #1,621 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
45648
Ohioshares a border
Score 37.80
Closest healthier
45652
Ohioshares a border
Score 33.12
Similar health profile
25514
West Virginia99% similar profile
Score 24.77
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 | 35.0% | 32.1–37.9 |
| High blood pressure among adults | 45.4% | 41.9–48.9 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.4–10.0 |
| Current asthma among adults | 12.3% | 11.0–13.7 |
| Coronary heart disease among adults | 10.1% | 9.2–11.1 |
| Chronic obstructive pulmonary disease among adults | 13.8% | 12.6–15.2 |
| Depression among adults | 31.1% | 27.6–34.8 |
| Diagnosed diabetes among adults | 17.2% | 15.4–19.1 |
| High cholesterol among adults who have ever been screened | 39.1% | 35.7–42.6 |
| Obesity among adults | 46.9% | 41.3–52.3 |
| Stroke among adults | 5.1% | 4.8–5.5 |
| All teeth lost among adults aged >=65 years | 27.4% | 23.8–31.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.9% | 9.5–12.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.7% | 77.5–81.7 |
| Visits to doctor for routine checkup within the past year among adults | 80.9% | 78.0–83.6 |
| Cholesterol screening among adults | 81.7% | 79.8–83.6 |
| Colorectal cancer screening among adults aged 45–75 years | 61.0% | 56.5–65.5 |
| Visited dentist or dental clinic in the past year among adults | 49.5% | 46.2–52.9 |
| Mammography use among women aged 50-74 years | 66.6% | 59.1–73.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.0% | 10.8–15.4 |
| Current cigarette smoking among adults | 23.8% | 21.3–26.5 |
| No leisure-time physical activity among adults | 40.1% | 36.0–44.3 |
| Short sleep duration among adults | 44.2% | 39.3–49.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.3% | 26.4–32.3 |
| Frequent mental distress among adults | 23.0% | 20.9–25.4 |
| Frequent physical distress among adults | 19.8% | 17.8–21.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.3% | 18.4–22.5 |
| Any disability among adults | 42.3% | 38.4–46.3 |
| Hearing disability among adults | 9.5% | 8.5–10.5 |
| Independent living disability among adults | 13.4% | 12.1–14.8 |
| Mobility disability among adults | 21.4% | 19.2–23.6 |
| Self-care disability among adults | 6.5% | 6.0–7.1 |
| Vision disability among adults | 8.1% | 7.4–8.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.1% | 19.1–25.4 |
| Food insecurity in the past 12 months among adults | 24.1% | 21.3–27.1 |
| Received food stamps in the past 12 months among adults | 25.1% | 22.3–27.9 |
| Housing insecurity in the past 12 months among adults | 16.0% | 13.9–18.1 |
| Lack of reliable transportation in the past 12 months among adults | 12.6% | 11.2–14.1 |
| Loneliness among adults | 37.4% | 32.5–42.2 |
| Utility services shut-off threat in the past 12 months among adults | 13.4% | 11.8–15.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OH median (p10–p90) |
|---|---|---|---|
| Poverty rate | 31.0% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (3.5–26.2%) n=1,177 |
| Uninsured 18–64 | 9.5% | 9.0% (1.5–24.3%) n=32,286 | 7.8% (2.5–18.1%) n=1,174 |
| No HS diploma (25+) | 14.0% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (2.3–17.0%) n=1,179 |
| Bachelor's or higher (25+) | 16.7% | 23.3% (9.2–53.6%) n=32,505 | 19.7% (8.1–45.8%) n=1,179 |
| Unemployment rate (16+) | 7.0% | 3.9% (0.0–9.8%) n=32,274 | 3.7% (0.0–9.8%) n=1,171 |
| Households without a vehicle | 13.8% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.0–14.5%) n=1,177 |
| Broadband subscription | 86.3% | 89.3% (75.1–97.1%) n=32,322 | 88.9% (76.5–96.0%) n=1,177 |
| Housing cost burden (≥30% income) | 32.9% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (11.2–34.6%) n=1,177 |
| Homeownership rate | 54.1% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (52.8–91.8%) n=1,177 |
| Crowded housing (>1 per room) | 1.5% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.5%) n=1,177 |
| Foreign-born population | 1.7% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–6.8%) n=1,180 |
| Single-parent households | 42.4% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (36.6–68.1%) n=1,168 |
| Population 65+ | 19.9% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.1–27.2%) n=1,180 |
| Median age | 41.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.2–50.5) n=1,169 |
| Median household income | $36,504 | $72,070 ($46,039–$118,707) n=30,318 | $70,500 ($46,328–$101,197) n=1,127 |
| Median home value | $102,200 | $222,200 ($100,300–$579,820) n=30,049 | $177,700 ($104,860–$310,980) n=1,117 |
| Median gross rent | $738 | $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 | 72.5 yr ± 0.66 | 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 0.66 years of 72.5, 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