ZIP code
01343
in Drury, MassachusettsPopulation 147
51.16/ 100
Ranked #14,586 of 32,066 US ZIPs (top 45%)
Ranked #456 of 527 Massachusetts ZIPs (bottom 13.5%)
Ranked #30 of 33 Pittsfield, MA ZIPs (bottom 9.1%)
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.
Tree cover
89.2%
in the top 1.6% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Slow internet speeds
2.2%
in the top 5.4% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Natural-disaster risk
in the bottom 8.2% nationally
Lower is healthier
ST2ndUS8thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Energy-cost burden
5.2%
in the top 7.0% nationally
Lower is healthier
ST99thUS93rdDefinition & 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 ›Expected annual disaster loss
$0
in the bottom 8.9% nationally
Lower is healthier
ST6thUS9thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Humid extreme heat
12.7 days/year
in the bottom 9.6% nationally
Lower is healthier
ST1stUS10thDefinition & 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 ›Crowded housing
5.3%
in the top 12.7% nationally
Lower is healthier
ST94thUS87thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Uninsured (under 65)
4.9%
in the bottom 5.8% nationally
Lower is healthier
ST78thUS6thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Mammography
79.1%
in the top 17% nationally
Higher is healthier
ST8thUS83rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Transportation noise
0.73%
in the bottom 19% nationally
Lower is healthier
ST7thUS19thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›The read
Overall, Drury, Massachusetts (ZIP 01343) lands in the top 45% healthiest ZIPs nationally (14,586th) and the bottom 13.5% of Massachusetts (456th), based on limited data; treat as directional.
The picture here is genuinely mixed, with readings on both sides: modeled tree cover rests in the top 1.6% nationally. Unemployment stands at the national minimum, shared with about 15% of ZIPs. Households without a vehicle lies at the national minimum, shared with about 16% of ZIPs. Modeled disaster risk lands in the bottom 8.2% nationally, expected annual loss sits in the bottom 8.9% nationally, and humid heat is in the bottom 9.6% nationally. Modeled extreme heat settles at the national minimum, shared with about 19% of ZIPs. On the other side, slow internet speeds resides in the top 5.4% nationally, and modeled energy burden registers in the top 7.0% nationally. Fiber broadband rests at the national minimum, shared with about 19% of ZIPs.
A note on the terms: disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Energy burden is the share of household income that goes to home energy bills. For a healthier nearby comparison, ZIP 01339, just across the boundary, ranks better 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.
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 84%
13%
Climate / Disaster RiskPartial
in the top 0.4%
5%
About typical
Chronic Disease Burden
healthier than 42%
21%
Risk Behavior
healthier than 43%
11%
Disability
healthier than 47%
7%
Holding it back
Social Need / SDOH
healthier than 19%
16%
Mental Health
healthier than 29%
8%
Healthcare Access
healthier than 37%
5%
Lifting this score
Environmental Hazard
healthier than 94%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 23%
13%
Risk Behavior
healthier than 15%
11%
Mental Health
healthier than 26%
8%
Disability
healthier than 13%
7%
Healthcare Access
healthier than 7%
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
01247
Massachusettsshares a border
Score 47.04
Closest healthier
01339
Massachusettsshares a border
Score 56.58
Similar health profile
16443
Pennsylvania98% similar profile
Score 51.49
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 | 31.1% | 27.7–34.6 |
| High blood pressure among adults | 36.1% | 32.2–40.0 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.1–11.2 |
| Current asthma among adults | 12.0% | 10.6–13.4 |
| Coronary heart disease among adults | 8.7% | 7.5–10.0 |
| Chronic obstructive pulmonary disease among adults | 8.4% | 7.0–10.1 |
| Depression among adults | 25.1% | 21.8–28.6 |
| Diagnosed diabetes among adults | 11.7% | 9.9–13.6 |
| High cholesterol among adults who have ever been screened | 37.3% | 33.3–41.4 |
| Obesity among adults | 32.6% | 26.8–38.5 |
| Stroke among adults | 4.1% | 3.5–4.7 |
| All teeth lost among adults aged >=65 years | 13.6% | 10.9–16.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.9% | 3.7–6.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.2% | 74.8–81.3 |
| Visits to doctor for routine checkup within the past year among adults | 80.8% | 77.5–83.8 |
| Cholesterol screening among adults | 89.8% | 87.9–91.5 |
| Colorectal cancer screening among adults aged 45–75 years | 66.5% | 61.5–71.2 |
| Visited dentist or dental clinic in the past year among adults | 66.3% | 62.7–69.8 |
| Mammography use among women aged 50-74 years | 79.1% | 72.5–85.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 13.5–19.2 |
| Current cigarette smoking among adults | 15.6% | 12.3–19.0 |
| No leisure-time physical activity among adults | 23.8% | 19.3–28.5 |
| Short sleep duration among adults | 38.8% | 33.4–44.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.6% | 16.2–23.4 |
| Frequent mental distress among adults | 17.8% | 15.5–20.3 |
| Frequent physical distress among adults | 15.1% | 13.0–17.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 13.1–18.1 |
| Any disability among adults | 32.7% | 27.9–37.6 |
| Hearing disability among adults | 8.7% | 7.5–9.9 |
| Independent living disability among adults | 8.6% | 7.2–10.1 |
| Mobility disability among adults | 14.7% | 12.2–17.4 |
| Self-care disability among adults | 4.1% | 3.4–4.9 |
| Vision disability among adults | 4.9% | 4.1–5.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.9% | 20.9–29.2 |
| Food insecurity in the past 12 months among adults | 12.4% | 9.4–15.7 |
| Received food stamps in the past 12 months among adults | 15.5% | 11.7–19.4 |
| Housing insecurity in the past 12 months among adults | 10.6% | 8.3–13.0 |
| Lack of reliable transportation in the past 12 months among adults | 7.6% | 6.2–9.1 |
| Loneliness among adults | 32.9% | 28.1–37.9 |
| Utility services shut-off threat in the past 12 months among adults | 7.3% | 5.9–8.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.6% | 10.6% (3.1–25.8%) n=32,364 | 6.4% (2.6–16.9%) n=524 |
| Uninsured 18–64 | 4.5% | 9.0% (1.5–24.3%) n=32,286 | 2.4% (0.0–6.3%) n=525 |
| No HS diploma (25+) | 15.3% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (1.1–15.2%) n=526 |
| Bachelor's or higher (25+) | 24.2% | 23.3% (9.2–53.6%) n=32,505 | 45.7% (23.6–77.5%) n=526 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.6–7.9%) n=523 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.6% (0.4–20.2%) n=522 |
| Broadband subscription | 89.3% | 89.3% (75.1–97.1%) n=32,322 | 94.1% (87.2–98.4%) n=522 |
| Housing cost burden (≥30% income) | 20.0% | 23.7% (10.6–40.0%) n=32,322 | 30.5% (21.2–43.7%) n=522 |
| Homeownership rate | 81.3% | 78.7% (51.7–94.0%) n=32,322 | 79.1% (39.6–93.5%) n=522 |
| Crowded housing (>1 per room) | 5.3% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.8%) n=522 |
| Foreign-born population | 10.9% | 2.6% (0.0–18.6%) n=32,553 | 8.7% (1.9–28.4%) n=527 |
| Single-parent households | 75.0% | 53.6% (37.3–74.1%) n=32,087 | 52.5% (40.0–68.7%) n=520 |
| Population 65+ | 42.9% | 19.4% (10.8–33.6%) n=32,553 | 19.4% (12.1–33.8%) n=527 |
| Median age | 60.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.3–57.2) n=524 |
| Median household income | $69,375 | $72,070 ($46,039–$118,707) n=30,318 | $110,450 ($68,196–$177,335) n=505 |
| Median home value | $276,600 | $222,200 ($100,300–$579,820) n=30,049 | $519,200 ($297,220–$949,670) n=508 |
| Median gross rent | — | $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 | 84.4 yr ± 2.84 | 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 2.84 years of 84.4, 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