ZIP code
01331
in Athol, MassachusettsPopulation 13,922
48.29/ 100
Ranked #18,564 of 32,066 US ZIPs (bottom 42%)
Ranked #486 of 527 Massachusetts ZIPs (bottom 7.8%)
Ranked #103 of 112 Worcester, MA-CT ZIPs (bottom 8.1%)
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.
Mammography
83.7%
in the top 1.6% nationally
Higher is healthier
ST49thUS98thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Energy-cost burden
5.2%
in the top 7.5% nationally
Lower is healthier
ST98thUS93rdDefinition & 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 ›Industrial-pollution burden
in the top 11.4% nationally
Lower is healthier
ST98thUS89thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Uninsured (under 65)
5.5%
in the bottom 10.0% nationally
Lower is healthier
ST83rdUS10thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›The read
On balance, and by the composite measure, Athol, Massachusetts (ZIP 01331) ranks in the bottom 42% nationally (18,564th) and the bottom 7.8% of Massachusetts (486th), based on limited data; treat as directional.
Strengths and concerns sit side by side across the measures here: modeled mammography lands in the top 1.6% nationally. Distance to an emergency room registers at the national minimum, shared with about 11% of ZIPs. Modeled extreme heat sits at the national minimum, shared with about 19% of ZIPs. Elder services rests in the top 10.3% nationally, and modeled tree cover is in the top 12.0% nationally. Distance to a nursing home stands at the national minimum, shared with about 27% of ZIPs. Childcare settles in the top 13.8% nationally. On the other hand, modeled energy burden lies in the top 7.5% nationally, and industrial-pollution burden resides in the top 11.4% nationally. Households without a vehicle lands in the top 13.7% nationally.
Compared with the ZIPs it borders, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. In plainer terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Energy burden is the share of household income that goes to home energy bills. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. For a healthier nearby ZIP overall, look to ZIP 01005, 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 Worcester, MA-CT 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 67%
14%
Preventive Care
healthier than 89%
13%
Climate / Disaster RiskPartial
healthier than 94%
5%
Healthcare Access
healthier than 93%
5%
About typical
Disability
healthier than 42%
7%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Social Need / SDOH
healthier than 13%
16%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 10%
8%
Lifting this score
Environmental Hazard
healthier than 86%
14%
Climate / Disaster RiskPartial
in the top 1.0%
5%
Healthcare Access
healthier than 93%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 28%
13%
Risk Behavior
healthier than 13%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 11%
7%
Lifting this score
Environmental Hazard
healthier than 96%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Healthcare Access
healthier than 93%
5%
About typical
Preventive Care
healthier than 41%
13%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 8%
16%
Risk Behavior
healthier than 22%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 8%
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 ›
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 77.3 ± 1.5 years. A median household income of $72,181 predicts 78.8 years — 1.5 years below.
Ranked #1,901 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 77.3 ± 1.5 years. The 49 nearest ZIP codes with estimates average 81.5 years — 4.2 years below them.
Ranked #3,107 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
01005
Massachusettsshares a border
Score 50.73
Closest healthier
01355
Massachusettsshares a border
Score 63.18
Similar health profile
48421
Michigan99% similar profile
Score 49.35
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 | 31.5% | 28.9–34.0 |
| High blood pressure among adults | 37.1% | 34.2–40.0 |
| Cancer (non-skin) or melanoma among adults | 9.5% | 8.7–10.4 |
| Current asthma among adults | 13.2% | 11.9–14.6 |
| Coronary heart disease among adults | 7.5% | 6.8–8.3 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 7.9–10.0 |
| Depression among adults | 28.3% | 25.4–31.2 |
| Diagnosed diabetes among adults | 11.9% | 10.5–13.4 |
| High cholesterol among adults who have ever been screened | 37.4% | 34.5–40.4 |
| Obesity among adults | 35.2% | 30.9–39.8 |
| Stroke among adults | 3.9% | 3.5–4.2 |
| All teeth lost among adults aged >=65 years | 16.2% | 13.3–19.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.5% | 4.6–6.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.7% | 74.1–79.2 |
| Visits to doctor for routine checkup within the past year among adults | 81.3% | 78.9–83.7 |
| Cholesterol screening among adults | 88.8% | 87.3–90.1 |
| Colorectal cancer screening among adults aged 45–75 years | 68.8% | 65.1–72.2 |
| Visited dentist or dental clinic in the past year among adults | 66.5% | 63.5–69.1 |
| Mammography use among women aged 50-74 years | 83.7% | 78.8–87.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 15.2–19.9 |
| Current cigarette smoking among adults | 16.7% | 14.6–18.9 |
| No leisure-time physical activity among adults | 27.6% | 24.5–30.9 |
| Short sleep duration among adults | 35.1% | 31.1–38.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.1% | 18.9–23.5 |
| Frequent mental distress among adults | 19.4% | 17.6–21.4 |
| Frequent physical distress among adults | 16.3% | 14.7–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.1% | 15.5–19.0 |
| Any disability among adults | 33.5% | 30.4–36.7 |
| Hearing disability among adults | 7.4% | 6.6–8.3 |
| Independent living disability among adults | 9.6% | 8.6–10.7 |
| Mobility disability among adults | 15.6% | 13.8–17.5 |
| Self-care disability among adults | 4.3% | 3.8–4.7 |
| Vision disability among adults | 5.1% | 4.6–5.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.0% | 22.4–27.8 |
| Food insecurity in the past 12 months among adults | 15.3% | 13.4–17.5 |
| Received food stamps in the past 12 months among adults | 19.6% | 17.2–22.2 |
| Housing insecurity in the past 12 months among adults | 12.1% | 10.6–13.8 |
| Lack of reliable transportation in the past 12 months among adults | 8.9% | 7.9–10.0 |
| Loneliness among adults | 35.1% | 31.9–38.4 |
| Utility services shut-off threat in the past 12 months among adults | 8.7% | 7.6–9.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.8% | 10.6% (3.1–25.8%) n=32,364 | 6.4% (2.6–16.9%) n=524 |
| Uninsured 18–64 | 3.1% | 9.0% (1.5–24.3%) n=32,286 | 2.4% (0.0–6.3%) n=525 |
| No HS diploma (25+) | 11.6% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (1.1–15.2%) n=526 |
| Bachelor's or higher (25+) | 21.1% | 23.3% (9.2–53.6%) n=32,505 | 45.7% (23.6–77.5%) n=526 |
| Unemployment rate (16+) | 7.4% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.6–7.9%) n=523 |
| Households without a vehicle | 10.5% | 3.9% (0.0–12.5%) n=32,322 | 4.6% (0.4–20.2%) n=522 |
| Broadband subscription | 94.3% | 89.3% (75.1–97.1%) n=32,322 | 94.1% (87.2–98.4%) n=522 |
| Housing cost burden (≥30% income) | 32.9% | 23.7% (10.6–40.0%) n=32,322 | 30.5% (21.2–43.7%) n=522 |
| Homeownership rate | 74.9% | 78.7% (51.7–94.0%) n=32,322 | 79.1% (39.6–93.5%) n=522 |
| Crowded housing (>1 per room) | 2.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.8%) n=522 |
| Foreign-born population | 3.4% | 2.6% (0.0–18.6%) n=32,553 | 8.7% (1.9–28.4%) n=527 |
| Single-parent households | 54.7% | 53.6% (37.3–74.1%) n=32,087 | 52.5% (40.0–68.7%) n=520 |
| Population 65+ | 19.1% | 19.4% (10.8–33.6%) n=32,553 | 19.4% (12.1–33.8%) n=527 |
| Median age | 42.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.3–57.2) n=524 |
| Median household income | $72,181 | $72,070 ($46,039–$118,707) n=30,318 | $110,450 ($68,196–$177,335) n=505 |
| Median home value | $281,400 | $222,200 ($100,300–$579,820) n=30,049 | $519,200 ($297,220–$949,670) n=508 |
| Median gross rent | $1,160 | $1,021 ($677–$1,912) n=25,670 | $1,659 ($1,104–$2,452) n=461 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | MA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 77.2 yr ± 0.78 | 78.9 yr (74.7–82.8) n=31,308 | 81.3 yr (78.1–84.4) n=514 |
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 0.78 years of 77.2, 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