ZIP code
04495
in Winn, MainePopulation 287
35.06/ 100
Ranked #29,368 of 32,066 US ZIPs (bottom 8.5%)
Ranked #398 of 408 Maine ZIPs (bottom 2.5%)
Ranked #42 of 45 Bangor, ME ZIPs (bottom 6.7%)
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.
Energy-cost burden
6.8%
in the top 1.3% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Tooth loss
30.5%
in the top 2.9% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Air-toxics cancer risk
10 per million
in the bottom 2.8% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Distance to a nursing home
16.9 mi
in the top 4.5% nationally
Lower is healthier
ST88thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Walkability
1.6 intersections/sq mi
in the bottom 5.0% nationally
Higher is healthier
ST7thUS5thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Coronary heart disease
10.8%
in the top 5.1% nationally
Lower is healthier
ST89thUS95thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Tree cover
77.8%
in the top 5.8% nationally
Higher is healthier
ST93rdUS94thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Humid extreme heat
10.2 days/year
in the bottom 7.3% nationally
Lower is healthier
ST34thUS7thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Slow internet speeds
1.5%
in the top 7.5% nationally
Lower is healthier
ST91stUS93rdDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Hearing disability
11.3%
in the top 7.5% nationally
Lower is healthier
ST88thUS93rdDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›The read
Winn, Maine (ZIP 04495) ranks in the bottom 8.5% nationally (29,368th) and the bottom 2.5% of Maine (398th), based on limited data; treat as directional.
Several readings make the pressure on this area plain: modeled energy burden is in the top 1.3% nationally, and tooth loss registers in the top 2.9% nationally. Distance to a nursing home lies in the top 4.5% nationally, and walkability is in the bottom 5.0% nationally. Modeled coronary heart disease registers in the top 5.1% nationally, slow internet speeds lies in the top 7.5% nationally, and modeled hearing disability is in the top 7.5% nationally. On the encouraging side, modeled air-toxics cancer risk registers in the bottom 2.8% nationally, tree cover lies in the top 5.8% nationally, and humid heat is in the bottom 7.3% nationally.
For context, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Energy burden is the share of household income that goes to home energy bills. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. The closest ZIP that ranks healthier overall is ZIP 04455, 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 Bangor, ME metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
in the top 0.8%
14%
Climate / Disaster RiskPartial
in the top 0.01%
5%
About typical
Preventive Care
healthier than 57%
13%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 3%
16%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 9%
7%
Healthcare Access
healthier than 25%
5%
Lifting this score
Environmental Hazard
healthier than 98%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 2%
21%
Social Need / SDOH
in the bottom 1.0%
16%
Preventive Care
healthier than 14%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 1%
7%
Healthcare Access
healthier than 33%
5%
Lifting this score
Environmental Hazard
in the top 0.00%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Preventive Care
healthier than 34%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 33%
8%
Disability
in the bottom 0.00%
7%
Healthcare Access
healthier than 14%
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
04455
Maineshares a border
Score 36.56
Closest healthier
04457
Maineshares a border
Score 41.22
Similar health profile
48625
Michigan99% similar profile
Score 38.88
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 | 38.7% | 35.9–41.3 |
| High blood pressure among adults | 45.0% | 41.9–48.0 |
| Cancer (non-skin) or melanoma among adults | 10.7% | 9.7–11.7 |
| Current asthma among adults | 14.2% | 12.8–15.7 |
| Coronary heart disease among adults | 10.8% | 9.6–12.3 |
| Chronic obstructive pulmonary disease among adults | 13.3% | 11.3–15.7 |
| Depression among adults | 29.6% | 26.8–32.6 |
| Diagnosed diabetes among adults | 16.0% | 14.1–18.1 |
| High cholesterol among adults who have ever been screened | 41.8% | 38.8–44.8 |
| Obesity among adults | 42.2% | 37.8–46.7 |
| Stroke among adults | 5.3% | 4.6–6.1 |
| All teeth lost among adults aged >=65 years | 30.5% | 26.5–34.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.0% | 7.7–12.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.0% | 75.5–80.4 |
| Visits to doctor for routine checkup within the past year among adults | 83.2% | 80.9–85.3 |
| Cholesterol screening among adults | 85.8% | 83.8–87.7 |
| Colorectal cancer screening among adults aged 45–75 years | 67.1% | 63.6–70.6 |
| Visited dentist or dental clinic in the past year among adults | 52.2% | 48.9–55.3 |
| Mammography use among women aged 50-74 years | 78.0% | 73.0–82.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 11.5–15.2 |
| Current cigarette smoking among adults | 21.3% | 17.7–25.2 |
| No leisure-time physical activity among adults | 34.3% | 29.9–39.0 |
| Short sleep duration among adults | 38.4% | 34.5–42.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.6% | 25.0–32.8 |
| Frequent mental distress among adults | 20.7% | 18.4–23.1 |
| Frequent physical distress among adults | 20.1% | 17.8–22.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.0% | 17.3–22.8 |
| Any disability among adults | 42.1% | 38.0–46.5 |
| Hearing disability among adults | 11.3% | 10.0–12.7 |
| Independent living disability among adults | 11.9% | 10.1–13.8 |
| Mobility disability among adults | 22.2% | 19.2–25.5 |
| Self-care disability among adults | 5.9% | 5.0–6.9 |
| Vision disability among adults | 7.1% | 6.1–8.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.9% | 21.6–28.4 |
| Food insecurity in the past 12 months among adults | 17.2% | 13.7–21.0 |
| Received food stamps in the past 12 months among adults | 25.7% | 21.0–30.7 |
| Housing insecurity in the past 12 months among adults | 12.8% | 10.6–15.3 |
| Lack of reliable transportation in the past 12 months among adults | 11.5% | 9.6–13.4 |
| Loneliness among adults | 34.9% | 31.3–38.6 |
| Utility services shut-off threat in the past 12 months among adults | 10.8% | 9.1–12.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ME median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.0% | 10.6% (3.1–25.8%) n=32,364 | 10.3% (3.2–19.5%) n=416 |
| Uninsured 18–64 | 13.5% | 9.0% (1.5–24.3%) n=32,286 | 9.8% (3.0–20.9%) n=413 |
| No HS diploma (25+) | 10.0% | 7.9% (1.8–20.7%) n=32,505 | 5.2% (0.8–11.7%) n=417 |
| Bachelor's or higher (25+) | 25.7% | 23.3% (9.2–53.6%) n=32,505 | 29.4% (14.9–57.3%) n=417 |
| Unemployment rate (16+) | 9.4% | 3.9% (0.0–9.8%) n=32,274 | 3.1% (0.0–8.3%) n=415 |
| Households without a vehicle | 5.6% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–11.5%) n=416 |
| Broadband subscription | 86.4% | 89.3% (75.1–97.1%) n=32,322 | 89.9% (79.7–97.2%) n=416 |
| Housing cost burden (≥30% income) | 24.1% | 23.7% (10.6–40.0%) n=32,322 | 23.4% (13.9–35.0%) n=416 |
| Homeownership rate | 86.4% | 78.7% (51.7–94.0%) n=32,322 | 84.7% (68.7–95.5%) n=416 |
| Crowded housing (>1 per room) | 4.3% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.4%) n=416 |
| Foreign-born population | 0.7% | 2.6% (0.0–18.6%) n=32,553 | 2.1% (0.1–5.9%) n=417 |
| Single-parent households | 72.0% | 53.6% (37.3–74.1%) n=32,087 | 61.5% (48.8–80.6%) n=414 |
| Population 65+ | 30.3% | 19.4% (10.8–33.6%) n=32,553 | 24.6% (16.3–42.1%) n=417 |
| Median age | 57.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 49.0 yr (39.3–60.7) n=413 |
| Median household income | $36,333 | $72,070 ($46,039–$118,707) n=30,318 | $68,485 ($50,225–$100,018) n=396 |
| Median home value | $95,600 | $222,200 ($100,300–$579,820) n=30,049 | $246,500 ($130,660–$484,830) n=402 |
| Median gross rent | $850 | $1,021 ($677–$1,912) n=25,670 | $1,014 ($618–$1,501) n=320 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | ME median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.1 yr ± 2.61 | 78.9 yr (74.7–82.8) n=31,308 | 79.0 yr (76.1–82.5) n=363 |
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 2.61 years of 80.1, 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