ZIP code
04953
in Newport, MainePopulation 3,143
47.86/ 100
Ranked #19,100 of 32,066 US ZIPs (bottom 40%)
Ranked #215 of 408 Maine ZIPs (bottom 47%)
Ranked #11 of 45 Bangor, ME ZIPs (top 24%)
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.
Grocery access
0.32 per 1,000 residents
in the top 3.4% nationally
Higher is healthier
ST94thUS97thDefinition & 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 ›Households without a vehicle
13.9%
in the top 8.4% nationally
Lower is healthier
ST96thUS92ndDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Distance to a Superfund site
1.4 mi
in the bottom 8.5% nationally
Higher is healthier
ST4thUS8thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Distance to a hazardous-chemical facility
13.6 mi
in the top 9.3% nationally
Higher is healthier
ST76thUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Energy-cost burden
4.9%
in the top 10.0% nationally
Lower is healthier
ST51stUS90thDefinition & 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 ›Home broadband subscription
78.3%
in the bottom 14.1% nationally
Higher is healthier
ST8thUS14thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Crowded housing
3.9%
in the top 19% nationally
Lower is healthier
ST93rdUS81stDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›The read
Newport, Maine (ZIP 04953), overall, ranks in the bottom 40% nationally (19,100th) and the bottom 47% of Maine (215th), based on limited data; treat as directional.
Taken together, the data gives a genuinely mixed reading: grocery lies in the top 3.4% nationally, and distance to a hazardous-chemical facility stands in the top 9.3% nationally. Modeled extreme heat rests at the national minimum, shared with about 19% of ZIPs. Distance to a community health center registers at the national minimum, shared with about 23% of ZIPs. Fatal road crashes resides in the bottom 11.4% nationally, and pharmacy settles in the top 12.5% nationally. On the other side, households without a vehicle is in the top 8.4% nationally, and distance to a Superfund site sits in the bottom 8.5% nationally. Modeled energy burden lands in the top 10.0% nationally, and home broadband subscription lies in the bottom 14.1% nationally.
Defined simply, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. ZIP 04456, about 6.0 miles away, comes out healthier 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 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
healthier than 85%
14%
Preventive Care
healthier than 78%
13%
Climate / Disaster RiskPartial
healthier than 98%
5%
About typical
Risk Behavior
healthier than 55%
11%
Disability
healthier than 43%
7%
Healthcare Access
healthier than 54%
5%
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Social Need / SDOH
healthier than 19%
16%
Mental Health
healthier than 12%
8%
Lifting this score
Environmental Hazard
healthier than 76%
14%
Climate / Disaster RiskPartial
healthier than 98%
5%
Healthcare Access
healthier than 78%
5%
About typical
Preventive Care
healthier than 44%
13%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Social Need / SDOH
healthier than 32%
16%
Risk Behavior
healthier than 26%
11%
Mental Health
healthier than 22%
8%
Disability
healthier than 36%
7%
Lifting this score
Preventive Care
healthier than 73%
13%
Risk Behavior
healthier than 68%
11%
Mental Health
healthier than 80%
8%
Climate / Disaster RiskPartial
healthier than 95%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Environmental Hazard
healthier than 57%
14%
Healthcare Access
healthier than 46%
5%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Disability
healthier than 36%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
04434
Maineshares a border
Score 39.61
Closest healthier
04456
Maineabout 6.0 mi away
Score 48.61
Similar health profile
48726
Michigan99% similar profile
Score 48.76
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 | 33.9% | 31.4–36.4 |
| High blood pressure among adults | 39.4% | 36.7–42.2 |
| Cancer (non-skin) or melanoma among adults | 10.3% | 9.5–11.3 |
| Current asthma among adults | 13.3% | 12.0–14.7 |
| Coronary heart disease among adults | 8.3% | 7.4–9.3 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 8.0–10.7 |
| Depression among adults | 28.2% | 25.4–31.0 |
| Diagnosed diabetes among adults | 12.4% | 10.9–13.9 |
| High cholesterol among adults who have ever been screened | 39.4% | 36.6–42.2 |
| Obesity among adults | 38.3% | 34.3–42.6 |
| Stroke among adults | 3.9% | 3.5–4.4 |
| All teeth lost among adults aged >=65 years | 16.4% | 13.8–19.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.4% | 6.7–10.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.4% | 73.8–78.7 |
| Visits to doctor for routine checkup within the past year among adults | 82.8% | 80.5–84.9 |
| Cholesterol screening among adults | 87.0% | 85.1–88.7 |
| Colorectal cancer screening among adults aged 45–75 years | 70.7% | 67.3–74.0 |
| Visited dentist or dental clinic in the past year among adults | 60.6% | 57.7–63.5 |
| Mammography use among women aged 50-74 years | 79.8% | 75.0–84.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 13.2–17.3 |
| Current cigarette smoking among adults | 15.8% | 13.3–18.5 |
| No leisure-time physical activity among adults | 26.9% | 23.5–30.4 |
| Short sleep duration among adults | 35.0% | 31.3–38.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.4% | 18.7–24.3 |
| Frequent mental distress among adults | 18.7% | 16.8–20.7 |
| Frequent physical distress among adults | 16.1% | 14.3–18.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.4% | 14.4–18.4 |
| Any disability among adults | 34.8% | 31.4–38.3 |
| Hearing disability among adults | 9.0% | 8.1–10.0 |
| Independent living disability among adults | 8.6% | 7.5–9.8 |
| Mobility disability among adults | 16.2% | 14.1–18.4 |
| Self-care disability among adults | 3.9% | 3.4–4.5 |
| Vision disability among adults | 4.8% | 4.2–5.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.5% | 20.9–26.6 |
| Food insecurity in the past 12 months among adults | 11.4% | 9.5–13.8 |
| Received food stamps in the past 12 months among adults | 15.6% | 13.1–18.5 |
| Housing insecurity in the past 12 months among adults | 9.7% | 8.2–11.5 |
| Lack of reliable transportation in the past 12 months among adults | 8.3% | 7.2–9.6 |
| Loneliness among adults | 34.0% | 30.9–37.5 |
| Utility services shut-off threat in the past 12 months among adults | 7.5% | 6.4–8.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ME median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.6% | 10.6% (3.1–25.8%) n=32,364 | 10.3% (3.2–19.5%) n=416 |
| Uninsured 18–64 | 11.7% | 9.0% (1.5–24.3%) n=32,286 | 9.8% (3.0–20.9%) n=413 |
| No HS diploma (25+) | 8.5% | 7.9% (1.8–20.7%) n=32,505 | 5.2% (0.8–11.7%) n=417 |
| Bachelor's or higher (25+) | 24.9% | 23.3% (9.2–53.6%) n=32,505 | 29.4% (14.9–57.3%) n=417 |
| Unemployment rate (16+) | 4.0% | 3.9% (0.0–9.8%) n=32,274 | 3.1% (0.0–8.3%) n=415 |
| Households without a vehicle | 13.9% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–11.5%) n=416 |
| Broadband subscription | 78.3% | 89.3% (75.1–97.1%) n=32,322 | 89.9% (79.7–97.2%) n=416 |
| Housing cost burden (≥30% income) | 29.9% | 23.7% (10.6–40.0%) n=32,322 | 23.4% (13.9–35.0%) n=416 |
| Homeownership rate | 72.3% | 78.7% (51.7–94.0%) n=32,322 | 84.7% (68.7–95.5%) n=416 |
| Crowded housing (>1 per room) | 3.9% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.4%) n=416 |
| Foreign-born population | 1.3% | 2.6% (0.0–18.6%) n=32,553 | 2.1% (0.1–5.9%) n=417 |
| Single-parent households | 63.9% | 53.6% (37.3–74.1%) n=32,087 | 61.5% (48.8–80.6%) n=414 |
| Population 65+ | 24.8% | 19.4% (10.8–33.6%) n=32,553 | 24.6% (16.3–42.1%) n=417 |
| Median age | 50.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 49.0 yr (39.3–60.7) n=413 |
| Median household income | $60,365 | $72,070 ($46,039–$118,707) n=30,318 | $68,485 ($50,225–$100,018) n=396 |
| Median home value | $234,800 | $222,200 ($100,300–$579,820) n=30,049 | $246,500 ($130,660–$484,830) n=402 |
| Median gross rent | $893 | $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 | 74.9 yr ± 1.62 | 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 1.62 years of 74.9, 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