ZIP code
01223
in Becket, MassachusettsPopulation 2,495
57.06/ 100
Ranked #7,220 of 32,066 US ZIPs (top 23%)
Ranked #362 of 527 Massachusetts ZIPs (bottom 31%)
Ranked #24 of 33 Pittsfield, MA ZIPs (bottom 27%)
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.
Colon-cancer screening
76.4%
in the top 1.5% nationally
Higher is healthier
ST90thUS99thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Tree cover
77.5%
in the top 5.9% nationally
Higher is healthier
ST93rdUS94thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Homeownership rate
96.9%
in the top 6.5% nationally
Higher is healthier
ST96thUS94thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Park land
15.1%
in the top 8.8% nationally
Higher is healthier
ST83rdUS91stDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Fiber broadband
95.9%
in the top 9.5% nationally
Higher is healthier
ST96thUS91stDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Uninsured (under 65)
3.6%
in the bottom 1.4% nationally
Lower is healthier
ST43rdUS1stDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Humid extreme heat
16.8 days/year
in the bottom 13.5% nationally
Lower is healthier
ST5thUS13thDefinition & 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 ›Energy-cost burden
4.9%
in the top 10.9% nationally
Lower is healthier
ST97thUS89thDefinition & 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 ›Fatal road crashes
28.1 per 100,000 residents per year
in the top 15% nationally
Lower is healthier
ST99thUS85thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Fine-particle (PM2.5) exceedance
0.55%
in the top 17% nationally
Lower is healthier
ST98thUS83rdDefinition & 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
By its overall health score, Becket, Massachusetts (ZIP 01223) lands in the top 23% healthiest ZIPs nationally (7,220th) and the bottom 31% of Massachusetts (362nd), based on limited data; treat as directional.
Taken together, the profile's clearest strengths surface right away: modeled colon screening registers in the top 1.5% nationally, and tree cover sits in the top 5.9% nationally. Homeownership rests in the top 6.5% nationally, and park land is in the top 8.8% nationally. Fiber broadband stands in the top 9.5% nationally. Modeled extreme heat settles at the national minimum, shared with about 19% of ZIPs. Modeled uninsured lies in the bottom 1.4% nationally, humid heat resides in the bottom 13.5% nationally, and food insecurity lands in the bottom 13.5% nationally. Against that, modeled energy burden registers in the top 10.9% nationally.
Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Energy burden is the share of household income that goes to home energy bills. Overall, the nearest healthier neighbor is ZIP 01226, 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 73%
14%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 75%
11%
Disability
healthier than 74%
7%
Climate / Disaster RiskPartial
healthier than 98%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Mental Health
healthier than 48%
8%
Healthcare Access
healthier than 42%
5%
Holding it back
Social Need / SDOH
healthier than 36%
16%
Lifting this score
Environmental Hazard
healthier than 90%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
About typical
Preventive Care
healthier than 49%
13%
Risk Behavior
healthier than 43%
11%
Mental Health
healthier than 48%
8%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 19%
16%
Disability
healthier than 33%
7%
Healthcare Access
healthier than 11%
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
01008
Massachusettsshares a border
Score 55.34
Closest healthier
01226
Massachusettsshares a border
Score 57.28
Similar health profile
01378
Massachusetts99% similar profile
Score 57.33
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 | 32.5% | 28.8–36.3 |
| High blood pressure among adults | 35.8% | 31.8–39.9 |
| Cancer (non-skin) or melanoma among adults | 11.4% | 10.3–12.7 |
| Current asthma among adults | 11.9% | 10.4–13.5 |
| Coronary heart disease among adults | 7.7% | 6.5–8.9 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 5.9–9.1 |
| Depression among adults | 24.8% | 21.4–28.5 |
| Diagnosed diabetes among adults | 11.1% | 9.2–13.0 |
| High cholesterol among adults who have ever been screened | 38.9% | 34.8–43.1 |
| Obesity among adults | 31.4% | 25.9–37.6 |
| Stroke among adults | 3.6% | 3.1–4.2 |
| All teeth lost among adults aged >=65 years | 8.3% | 6.6–10.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.6% | 2.7–4.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.9% | 76.6–82.9 |
| Visits to doctor for routine checkup within the past year among adults | 82.7% | 79.8–85.4 |
| Cholesterol screening among adults | 92.2% | 90.8–93.5 |
| Colorectal cancer screening among adults aged 45–75 years | 76.4% | 72.3–80.3 |
| Visited dentist or dental clinic in the past year among adults | 71.7% | 68.4–74.8 |
| Mammography use among women aged 50-74 years | 74.8% | 67.4–81.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.7% | 13.1–18.6 |
| Current cigarette smoking among adults | 12.5% | 9.5–15.9 |
| No leisure-time physical activity among adults | 20.3% | 16.2–24.9 |
| Short sleep duration among adults | 35.7% | 30.6–41.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.4% | 13.4–20.0 |
| Frequent mental distress among adults | 15.8% | 13.7–18.0 |
| Frequent physical distress among adults | 13.7% | 11.5–16.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.7% | 10.7–15.1 |
| Any disability among adults | 28.7% | 24.1–33.4 |
| Hearing disability among adults | 7.5% | 6.4–8.6 |
| Independent living disability among adults | 7.0% | 5.8–8.4 |
| Mobility disability among adults | 13.0% | 10.5–15.8 |
| Self-care disability among adults | 3.4% | 2.8–4.0 |
| Vision disability among adults | 3.9% | 3.2–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.6% | 18.0–25.7 |
| Food insecurity in the past 12 months among adults | 9.1% | 7.0–11.8 |
| Received food stamps in the past 12 months among adults | 11.3% | 8.5–14.6 |
| Housing insecurity in the past 12 months among adults | 8.0% | 6.4–10.0 |
| Lack of reliable transportation in the past 12 months among adults | 5.8% | 4.8–7.0 |
| Loneliness among adults | 30.3% | 25.8–35.1 |
| Utility services shut-off threat in the past 12 months among adults | 5.6% | 4.6–6.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.1% | 10.6% (3.1–25.8%) n=32,364 | 6.4% (2.6–16.9%) n=524 |
| Uninsured 18–64 | 11.6% | 9.0% (1.5–24.3%) n=32,286 | 2.4% (0.0–6.3%) n=525 |
| No HS diploma (25+) | 3.8% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (1.1–15.2%) n=526 |
| Bachelor's or higher (25+) | 42.4% | 23.3% (9.2–53.6%) n=32,505 | 45.7% (23.6–77.5%) n=526 |
| Unemployment rate (16+) | 3.0% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.6–7.9%) n=523 |
| Households without a vehicle | 1.1% | 3.9% (0.0–12.5%) n=32,322 | 4.6% (0.4–20.2%) n=522 |
| Broadband subscription | 92.9% | 89.3% (75.1–97.1%) n=32,322 | 94.1% (87.2–98.4%) n=522 |
| Housing cost burden (≥30% income) | 35.3% | 23.7% (10.6–40.0%) n=32,322 | 30.5% (21.2–43.7%) n=522 |
| Homeownership rate | 96.9% | 78.7% (51.7–94.0%) n=32,322 | 79.1% (39.6–93.5%) n=522 |
| Crowded housing (>1 per room) | 0.5% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.8%) n=522 |
| Foreign-born population | 4.6% | 2.6% (0.0–18.6%) n=32,553 | 8.7% (1.9–28.4%) n=527 |
| Single-parent households | 66.6% | 53.6% (37.3–74.1%) n=32,087 | 52.5% (40.0–68.7%) n=520 |
| Population 65+ | 24.5% | 19.4% (10.8–33.6%) n=32,553 | 19.4% (12.1–33.8%) n=527 |
| Median age | 50.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.3–57.2) n=524 |
| Median household income | $86,818 | $72,070 ($46,039–$118,707) n=30,318 | $110,450 ($68,196–$177,335) n=505 |
| Median home value | $363,600 | $222,200 ($100,300–$579,820) n=30,049 | $519,200 ($297,220–$949,670) n=508 |
| Median gross rent | $2,036 | $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 | 82.4 yr ± 2.48 | 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 2.48 years of 82.4, 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