ZIP code
59087
in Winnett, MontanaPopulation 395
48.99/ 100
Ranked #17,680 of 32,066 US ZIPs (bottom 45%)
Ranked #180 of 341 Montana ZIPs (bottom 47%)
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.
Distance to a nursing home
38.6 mi
in the top 1.0% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Walkability
0.77 intersections/sq mi
in the bottom 1.8% nationally
Higher is healthier
ST24thUS2ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Distance to a community health center
38.9 mi
in the top 2.3% nationally
Lower is healthier
ST87thUS98thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Hearing disability
12.4%
in the top 3.3% nationally
Lower is healthier
ST91stUS97thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Air-toxics cancer risk
10 per million
in the bottom 2.8% nationally
Lower is healthier
ST1stUS3rdDefinition & 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 ›Distance to an emergency room
21.7 mi
in the top 4.5% nationally
Lower is healthier
ST84thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Fine-particle (PM2.5) exceedance
1.9%
in the top 4.7% nationally
Lower is healthier
ST53rdUS95thDefinition & 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 ›Energy-cost burden
5.6%
in the top 4.3% nationally
Lower is healthier
ST80thUS96thDefinition & 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 ›Slow internet speeds
2.1%
in the top 5.5% nationally
Lower is healthier
ST74thUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Distance to a hazardous-chemical facility
18 mi
in the top 5.9% nationally
Higher is healthier
ST79thUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›The read
By the composite measure, Winnett, Montana (ZIP 59087) sits in the bottom 45% nationally (17,680th) and the bottom 47% of Montana (180th).
What the numbers press hardest on defines much of the story here: distance to a nursing home lands in the top 1.0% nationally, walkability resides in the bottom 1.8% nationally, and distance to a community health center lies in the top 2.3% nationally. Modeled hearing disability settles in the top 3.3% nationally, distance to an emergency room stands in the top 4.5% nationally, and modeled fine-particle is in the top 4.7% nationally. Modeled energy burden rests in the top 4.3% nationally, and slow internet speeds sits in the top 5.5% nationally. On the encouraging side, modeled air-toxics cancer risk registers in the bottom 2.8% nationally, and distance to a hazardous-chemical facility lands in the top 5.9% nationally.
In plain language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. ZIP 59032, just across the boundary, ranks healthier 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 66%
14%
Risk Behavior
healthier than 76%
11%
Mental Health
healthier than 74%
8%
Climate / Disaster Risk
healthier than 93%
5%
About typical
Preventive Care
healthier than 45%
13%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Social Need / SDOH
healthier than 31%
16%
Disability
healthier than 37%
7%
Healthcare Access
in the bottom 0.10%
5%
Lifting this score
Environmental Hazard
healthier than 76%
14%
Preventive Care
healthier than 66%
13%
Risk Behavior
healthier than 68%
11%
Mental Health
healthier than 84%
8%
Holding it back
Chronic Disease Burden
healthier than 28%
21%
Social Need / SDOH
healthier than 29%
16%
Disability
healthier than 29%
7%
Climate / Disaster Risk
healthier than 35%
5%
Healthcare Access
healthier than 1%
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
59032
Montanashares a border
Score 54.53
Closest healthier
59471
Montanashares a border
Score 53.72
Similar health profile
59214
Montana98% similar profile
Score 50.49
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 | 34.5% | 31.0–38.2 |
| High blood pressure among adults | 39.6% | 35.5–43.8 |
| Cancer (non-skin) or melanoma among adults | 12.6% | 11.4–13.9 |
| Current asthma among adults | 10.4% | 9.2–11.6 |
| Coronary heart disease among adults | 9.8% | 8.6–10.9 |
| Chronic obstructive pulmonary disease among adults | 8.7% | 7.4–10.0 |
| Depression among adults | 21.6% | 18.5–24.9 |
| Diagnosed diabetes among adults | 12.3% | 10.6–14.1 |
| High cholesterol among adults who have ever been screened | 37.3% | 33.2–41.7 |
| Obesity among adults | 31.4% | 24.6–39.3 |
| Stroke among adults | 4.8% | 4.2–5.3 |
| All teeth lost among adults aged >=65 years | 14.2% | 11.4–17.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 6.6–10.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.5% | 76.5–82.2 |
| Visits to doctor for routine checkup within the past year among adults | 75.0% | 71.3–78.6 |
| Cholesterol screening among adults | 85.9% | 83.9–87.7 |
| Colorectal cancer screening among adults aged 45–75 years | 69.2% | 63.4–74.4 |
| Visited dentist or dental clinic in the past year among adults | 63.4% | 59.4–67.1 |
| Mammography use among women aged 50-74 years | 72.3% | 63.5–79.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.9% | 14.1–20.0 |
| Current cigarette smoking among adults | 13.0% | 10.7–15.6 |
| No leisure-time physical activity among adults | 23.8% | 19.6–28.6 |
| Short sleep duration among adults | 30.5% | 24.3–37.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.5% | 16.7–22.5 |
| Frequent mental distress among adults | 15.1% | 13.3–17.0 |
| Frequent physical distress among adults | 15.1% | 13.2–17.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.4% | 11.6–15.2 |
| Any disability among adults | 34.3% | 29.9–39.1 |
| Hearing disability among adults | 12.4% | 10.9–13.8 |
| Independent living disability among adults | 8.4% | 7.3–9.7 |
| Mobility disability among adults | 16.3% | 13.9–18.8 |
| Self-care disability among adults | 4.0% | 3.5–4.6 |
| Vision disability among adults | 5.1% | 4.4–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.5% | 17.0–23.9 |
| Food insecurity in the past 12 months among adults | 9.6% | 7.6–11.6 |
| Received food stamps in the past 12 months among adults | 6.8% | 5.4–8.4 |
| Housing insecurity in the past 12 months among adults | 7.1% | 5.7–8.6 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.2–7.2 |
| Loneliness among adults | 28.9% | 24.0–34.1 |
| Utility services shut-off threat in the past 12 months among adults | 5.2% | 4.3–6.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.6% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 10.5% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 1.3% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 32.0% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 85.1% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 14.4% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 72.6% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 1.0% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 66.9% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 29.6% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 52.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $62,813 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $195,300 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $800 | $1,021 ($677–$1,912) n=25,670 | $877 ($544–$1,329) n=213 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 83.0 yr ± 1.36 | 78.9 yr (74.7–82.8) n=31,308 | 79.7 yr (76.7–83.7) n=358 |
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 1.36 years of 83.0, 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