ZIP code
04418
in Greenbush, MainePopulation 1,649
42.68/ 100
Ranked #24,664 of 32,066 US ZIPs (bottom 23%)
Ranked #329 of 408 Maine ZIPs (bottom 19%)
Ranked #26 of 45 Bangor, ME 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.
Energy-cost burden
5.9%
in the top 3.3% nationally
Lower is healthier
ST83rdUS97thDefinition & 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 ›Walkability
1.7 intersections/sq mi
in the bottom 5.8% nationally
Higher is healthier
ST10thUS6thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Air-toxics cancer risk
19.1 per million
in the bottom 7.2% nationally
Lower is healthier
ST35thUS7thDefinition & 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 ›Child-care access
0.58 per 1,000 residents
in the top 7.7% nationally
Higher is healthier
ST81stUS92ndDefinition & source ›
The number of child day-care services 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.
Full methodology ›Humid extreme heat
12.8 days/year
in the bottom 9.6% nationally
Lower is healthier
ST41stUS10thDefinition & 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 ›Tree cover
69%
in the top 9.7% nationally
Higher is healthier
ST79thUS90thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Unemployment rate
8.5%
in the top 13.6% nationally
Lower is healthier
ST91stUS86thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Obesity
41.4%
in the top 16% nationally
Lower is healthier
ST93rdUS84thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Loneliness
35%
in the top 23% nationally
Lower is healthier
ST90thUS77thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›The read
Greenbush, Maine (ZIP 04418), by its composite score, sits in the bottom 23% nationally (24,664th) and the bottom 19% of Maine (329th), based on limited data; treat as directional.
The measures land in both directions, and neither dominates: modeled air-toxics cancer risk is in the bottom 7.2% nationally, and childcare lands in the top 7.7% nationally. Modeled humid heat stands in the bottom 9.6% nationally. Modeled extreme heat registers at the national minimum, shared with about 19% of ZIPs. Modeled tree cover settles in the top 9.7% nationally. Pulling the other way, modeled energy burden sits in the top 3.3% nationally, walkability lies in the bottom 5.8% nationally, and unemployment rests in the top 13.6% nationally. Modeled arsenic resides in the top 14.1% nationally, and distance to a nursing home is in the top 15% nationally.
For anyone unfamiliar, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Energy burden is the share of household income that goes to home energy bills. For a healthier comparison close by, see ZIP 04408, 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
healthier than 95%
14%
Climate / Disaster RiskPartial
in the top 0.4%
5%
About typical
Preventive Care
healthier than 54%
13%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Social Need / SDOH
healthier than 8%
16%
Risk Behavior
healthier than 24%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 33%
7%
Healthcare Access
healthier than 23%
5%
Lifting this score
Environmental Hazard
healthier than 89%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 12%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 31%
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
healthier than 23%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Preventive Care
healthier than 31%
13%
Risk Behavior
healthier than 12%
11%
Mental Health
healthier than 20%
8%
Disability
healthier than 24%
7%
Healthcare Access
healthier than 12%
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
04408
Maineshares a border
Score 47.99
Closest healthier
04468
Maineshares a border
Score 45.87
Similar health profile
48877
Michigan99% similar profile
Score 43.60
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 | 33.7% | 31.2–36.2 |
| High blood pressure among adults | 39.7% | 36.9–42.4 |
| Cancer (non-skin) or melanoma among adults | 9.1% | 8.3–10.1 |
| Current asthma among adults | 14.0% | 12.7–15.5 |
| Coronary heart disease among adults | 8.2% | 7.3–9.1 |
| Chronic obstructive pulmonary disease among adults | 10.2% | 8.8–11.6 |
| Depression among adults | 29.9% | 27.1–32.8 |
| Diagnosed diabetes among adults | 12.9% | 11.5–14.4 |
| High cholesterol among adults who have ever been screened | 38.7% | 35.9–41.4 |
| Obesity among adults | 41.4% | 37.1–45.6 |
| Stroke among adults | 3.9% | 3.5–4.4 |
| All teeth lost among adults aged >=65 years | 13.6% | 11.5–16.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.0% | 7.1–11.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.5% | 71.8–77.1 |
| Visits to doctor for routine checkup within the past year among adults | 81.8% | 79.4–84.2 |
| Cholesterol screening among adults | 85.7% | 83.8–87.6 |
| Colorectal cancer screening among adults aged 45–75 years | 67.1% | 63.4–70.7 |
| Visited dentist or dental clinic in the past year among adults | 56.6% | 53.5–59.7 |
| Mammography use among women aged 50-74 years | 77.9% | 72.8–82.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.6% | 13.6–17.8 |
| Current cigarette smoking among adults | 19.6% | 16.6–22.7 |
| No leisure-time physical activity among adults | 28.9% | 25.1–32.7 |
| Short sleep duration among adults | 37.2% | 33.3–41.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.6% | 20.6–26.6 |
| Frequent mental distress among adults | 20.8% | 18.6–22.8 |
| Frequent physical distress among adults | 17.5% | 15.5–19.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.4% | 16.0–20.6 |
| Any disability among adults | 36.2% | 32.5–39.8 |
| Hearing disability among adults | 8.6% | 7.7–9.5 |
| Independent living disability among adults | 9.5% | 8.3–10.8 |
| Mobility disability among adults | 16.9% | 14.8–19.1 |
| Self-care disability among adults | 4.4% | 3.8–5.0 |
| Vision disability among adults | 5.3% | 4.6–6.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.0% | 22.1–27.9 |
| Food insecurity in the past 12 months among adults | 14.2% | 11.8–16.7 |
| Received food stamps in the past 12 months among adults | 20.3% | 17.0–23.7 |
| Housing insecurity in the past 12 months among adults | 11.9% | 10.1–13.8 |
| Lack of reliable transportation in the past 12 months among adults | 10.0% | 8.6–11.4 |
| Loneliness among adults | 35.0% | 31.6–38.2 |
| Utility services shut-off threat in the past 12 months among adults | 9.6% | 8.3–11.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | ME median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.8% | 10.6% (3.1–25.8%) n=32,364 | 10.3% (3.2–19.5%) n=416 |
| Uninsured 18–64 | 9.4% | 9.0% (1.5–24.3%) n=32,286 | 9.8% (3.0–20.9%) n=413 |
| No HS diploma (25+) | 5.1% | 7.9% (1.8–20.7%) n=32,505 | 5.2% (0.8–11.7%) n=417 |
| Bachelor's or higher (25+) | 16.5% | 23.3% (9.2–53.6%) n=32,505 | 29.4% (14.9–57.3%) n=417 |
| Unemployment rate (16+) | 8.5% | 3.9% (0.0–9.8%) n=32,274 | 3.1% (0.0–8.3%) n=415 |
| Households without a vehicle | 0.8% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–11.5%) n=416 |
| Broadband subscription | 88.9% | 89.3% (75.1–97.1%) n=32,322 | 89.9% (79.7–97.2%) n=416 |
| Housing cost burden (≥30% income) | 17.8% | 23.7% (10.6–40.0%) n=32,322 | 23.4% (13.9–35.0%) n=416 |
| Homeownership rate | 89.7% | 78.7% (51.7–94.0%) n=32,322 | 84.7% (68.7–95.5%) n=416 |
| Crowded housing (>1 per room) | 2.5% | 1.3% (0.0–6.3%) n=32,322 | 0.8% (0.0–3.4%) n=416 |
| Foreign-born population | 2.4% | 2.6% (0.0–18.6%) n=32,553 | 2.1% (0.1–5.9%) n=417 |
| Single-parent households | 47.3% | 53.6% (37.3–74.1%) n=32,087 | 61.5% (48.8–80.6%) n=414 |
| Population 65+ | 18.1% | 19.4% (10.8–33.6%) n=32,553 | 24.6% (16.3–42.1%) n=417 |
| Median age | 41.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 49.0 yr (39.3–60.7) n=413 |
| Median household income | $60,500 | $72,070 ($46,039–$118,707) n=30,318 | $68,485 ($50,225–$100,018) n=396 |
| Median home value | $135,100 | $222,200 ($100,300–$579,820) n=30,049 | $246,500 ($130,660–$484,830) n=402 |
| Median gross rent | $861 | $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 | 79.0 yr ± 1.78 | 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 1.78 years of 79.0, 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