ZIP code
04292
in Sumner, MainePopulation 845
46.78/ 100
Ranked #20,423 of 32,066 US ZIPs (bottom 36%)
Ranked #236 of 408 Maine ZIPs (bottom 42%)
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.
Tree cover
78.9%
in the top 5.3% nationally
Higher is healthier
ST95thUS95thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Energy-cost burden
5.0%
in the top 9.4% nationally
Lower is healthier
ST54thUS91stDefinition & 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 ›Fiber broadband
89.9%
in the top 16% nationally
Higher is healthier
ST93rdUS84thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Fine-particle (PM2.5) exceedance
0.27%
in the top 23% nationally
Lower is healthier
ST99thUS77thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›The read
Judged by its overall standing, Sumner, Maine (ZIP 04292) sits in the bottom 36% nationally (20,423rd) and the bottom 42% of Maine (236th).
A few readings each way define this mixed profile: modeled tree cover is in the top 5.3% nationally. Modeled extreme heat lies at the national minimum, shared with about 19% of ZIPs. Modeled loud transportation noise registers at the national minimum, shared with about 22% of ZIPs. Modeled humid heat is in the bottom 14.1% nationally, and homeownership lies in the top 15% nationally. Fiber broadband registers in the top 16% nationally. Outer-floodplain exposure is at the national minimum, shared with about 36% of ZIPs. Physicians lies in the top 19% nationally. Pulling the other way, modeled energy burden registers in the top 9.4% nationally. Recreation is at the national minimum, shared with about 35% of ZIPs.
Put plainly, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Energy burden is the share of household income that goes to home energy bills. A healthier nearby ZIP overall is ZIP 04219, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 68%
14%
Climate / Disaster Risk
healthier than 83%
5%
About typical
Preventive Care
healthier than 59%
13%
Risk Behavior
healthier than 49%
11%
Disability
healthier than 42%
7%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Social Need / SDOH
healthier than 17%
16%
Mental Health
healthier than 15%
8%
Healthcare Access
healthier than 27%
5%
Lifting this score
Climate / Disaster Risk
healthier than 80%
5%
About typical
Chronic Disease Burden
healthier than 43%
21%
Environmental Hazard
healthier than 52%
14%
Holding it back
Social Need / SDOH
healthier than 27%
16%
Preventive Care
healthier than 15%
13%
Risk Behavior
healthier than 22%
11%
Mental Health
healthier than 34%
8%
Disability
healthier than 33%
7%
Healthcare Access
healthier than 37%
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
04219
Maineshares a border
Score 49.26
Closest healthier
04220
Maineshares a border
Score 49.44
Similar health profile
04943
Maine99% similar profile
Score 45.88
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 | 33.1% | 30.3–36.2 |
| High blood pressure among adults | 35.5% | 32.5–38.9 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.5–10.3 |
| Current asthma among adults | 13.7% | 12.3–15.3 |
| Coronary heart disease among adults | 7.9% | 6.9–9.0 |
| Chronic obstructive pulmonary disease among adults | 9.7% | 8.2–11.5 |
| Depression among adults | 27.1% | 24.2–30.6 |
| Diagnosed diabetes among adults | 12.3% | 10.7–14.1 |
| High cholesterol among adults who have ever been screened | 39.5% | 36.4–43.0 |
| Obesity among adults | 35.0% | 30.7–40.1 |
| Stroke among adults | 3.9% | 3.4–4.5 |
| All teeth lost among adults aged >=65 years | 14.8% | 12.3–17.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.5% | 6.4–11.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.5% | 72.6–78.4 |
| Visits to doctor for routine checkup within the past year among adults | 80.4% | 77.6–83.2 |
| Cholesterol screening among adults | 86.3% | 84.3–88.5 |
| Colorectal cancer screening among adults aged 45–75 years | 68.4% | 64.4–72.3 |
| Visited dentist or dental clinic in the past year among adults | 59.6% | 56.4–62.9 |
| Mammography use among women aged 50-74 years | 77.5% | 71.7–82.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.6% | 14.1–19.3 |
| Current cigarette smoking among adults | 18.2% | 14.9–21.7 |
| No leisure-time physical activity among adults | 23.8% | 20.2–28.2 |
| Short sleep duration among adults | 33.9% | 29.7–38.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.1% | 18.1–24.7 |
| Frequent mental distress among adults | 18.7% | 16.5–21.1 |
| Frequent physical distress among adults | 16.2% | 14.2–18.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.2% | 14.9–19.9 |
| Any disability among adults | 31.9% | 28.1–36.4 |
| Hearing disability among adults | 8.3% | 7.4–9.4 |
| Independent living disability among adults | 9.3% | 7.9–10.9 |
| Mobility disability among adults | 14.7% | 12.6–17.2 |
| Self-care disability among adults | 4.1% | 3.5–4.9 |
| Vision disability among adults | 5.0% | 4.3–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.1% | 21.7–28.8 |
| Food insecurity in the past 12 months among adults | 13.6% | 10.8–16.9 |
| Received food stamps in the past 12 months among adults | 18.1% | 14.5–22.3 |
| Housing insecurity in the past 12 months among adults | 12.4% | 10.2–14.9 |
| Lack of reliable transportation in the past 12 months among adults | 9.0% | 7.6–10.7 |
| Loneliness among adults | 33.0% | 29.2–36.9 |
| Utility services shut-off threat in the past 12 months among adults | 9.2% | 7.7–10.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ME median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.8% | 10.6% (3.1–25.8%) n=32,364 | 10.3% (3.2–19.5%) n=416 |
| Uninsured 18–64 | 12.2% | 9.0% (1.5–24.3%) n=32,286 | 9.8% (3.0–20.9%) n=413 |
| No HS diploma (25+) | 3.8% | 7.9% (1.8–20.7%) n=32,505 | 5.2% (0.8–11.7%) n=417 |
| Bachelor's or higher (25+) | 15.4% | 23.3% (9.2–53.6%) n=32,505 | 29.4% (14.9–57.3%) n=417 |
| Unemployment rate (16+) | 2.4% | 3.9% (0.0–9.8%) n=32,274 | 3.1% (0.0–8.3%) n=415 |
| Households without a vehicle | 3.5% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–11.5%) n=416 |
| Broadband subscription | 90.0% | 89.3% (75.1–97.1%) n=32,322 | 89.9% (79.7–97.2%) n=416 |
| Housing cost burden (≥30% income) | 17.3% | 23.7% (10.6–40.0%) n=32,322 | 23.4% (13.9–35.0%) n=416 |
| Homeownership rate | 91.1% | 78.7% (51.7–94.0%) n=32,322 | 84.7% (68.7–95.5%) n=416 |
| Crowded housing (>1 per room) | 2.4% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.4%) n=416 |
| Foreign-born population | 0.2% | 2.6% (0.0–18.6%) n=32,553 | 2.1% (0.1–5.9%) n=417 |
| Single-parent households | 69.1% | 53.6% (37.3–74.1%) n=32,087 | 61.5% (48.8–80.6%) n=414 |
| Population 65+ | 29.7% | 19.4% (10.8–33.6%) n=32,553 | 24.6% (16.3–42.1%) n=417 |
| Median age | 56.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 49.0 yr (39.3–60.7) n=413 |
| Median household income | $57,750 | $72,070 ($46,039–$118,707) n=30,318 | $68,485 ($50,225–$100,018) n=396 |
| Median home value | $150,000 | $222,200 ($100,300–$579,820) n=30,049 | $246,500 ($130,660–$484,830) n=402 |
| Median gross rent | — | $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 | 81.7 yr ± 2.10 | 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 2.10 years of 81.7, 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