ZIP code
59061
in Nye, MontanaPopulation 250
54.64/ 100
Ranked #9,911 of 32,066 US ZIPs (top 31%)
Ranked #51 of 341 Montana ZIPs (top 15.0%)
Ranked #10 of 30 Billings, MT ZIPs (top 33%)
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.
Loneliness
24.6%
in the bottom 0.3% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Transportation noise
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Walkability
0.95 intersections/sq mi
in the bottom 2.5% nationally
Higher is healthier
ST35thUS2ndDefinition & 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
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 ›Housing insecurity
6.1%
in the bottom 2.9% nationally
Lower is healthier
ST2ndUS3rdDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Distance to a nursing home
17.4 mi
in the top 4.3% nationally
Lower is healthier
ST69thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Distance to a community health center
29.1 mi
in the top 4.3% nationally
Lower is healthier
ST79thUS96thDefinition & 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 ›Slow internet speeds
2.0%
in the top 5.8% nationally
Lower is healthier
ST72ndUS94thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Distance to a hazardous-chemical facility
17.6 mi
in the top 6.1% nationally
Higher is healthier
ST78thUS94thDefinition & 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 ›Distance to an emergency room
18.2 mi
in the top 6.9% nationally
Lower is healthier
ST76thUS93rdDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›The read
Nye, Montana (ZIP 59061), by its overall standing, sits in the top 31% healthiest ZIPs nationally (9,911th) and the top 15.0% of Montana (51st).
The measures fall on both sides of the ledger for this area: modeled loneliness lies in the bottom 0.3% nationally, transportation noise sits at the national minimum, and air-toxics cancer risk settles in the bottom 2.8% nationally. Modeled housing insecurity registers in the bottom 2.9% nationally, and distance to a hazardous-chemical facility stands in the top 6.1% nationally. Set against that, walkability lands in the bottom 2.5% nationally, and distance to a nursing home is in the top 4.3% nationally. Distance to a community health center resides in the top 4.3% nationally, and slow internet speeds rests in the top 5.8% nationally. Distance to an emergency room lies in the top 6.9% nationally.
Defined in plain terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. 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. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The nearest ZIP ranking healthier overall is ZIP 59001, 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 Billings, MT metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 67%
16%
Environmental Hazard
healthier than 85%
14%
Preventive Care
healthier than 72%
13%
Risk Behavior
healthier than 82%
11%
Mental Health
healthier than 89%
8%
Climate / Disaster Risk
healthier than 97%
5%
About typical
Disability
healthier than 52%
7%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Healthcare Access
healthier than 2%
5%
Lifting this score
Social Need / SDOH
healthier than 70%
16%
Environmental Hazard
healthier than 91%
14%
Preventive Care
healthier than 90%
13%
Risk Behavior
healthier than 82%
11%
Mental Health
healthier than 99%
8%
Climate / Disaster Risk
healthier than 63%
5%
About typical
Disability
healthier than 53%
7%
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Healthcare Access
healthier than 10%
5%
Lifting this score
Environmental Hazard
healthier than 93%
14%
Preventive Care
healthier than 93%
13%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 96%
8%
Climate / Disaster Risk
healthier than 89%
5%
About typical
Social Need / SDOH
healthier than 59%
16%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Disability
healthier than 33%
7%
Healthcare Access
in the bottom 0.00%
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
59001
Montanashares a border
Score 56.15
Closest healthier
59028
Montanashares a border
Score 55.22
Similar health profile
59747
Montana97% similar profile
Score 53.56
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 | 38.1% | 33.9–42.2 |
| High blood pressure among adults | 41.7% | 37.1–46.4 |
| Cancer (non-skin) or melanoma among adults | 13.3% | 11.9–14.8 |
| Current asthma among adults | 10.3% | 9.1–11.6 |
| Coronary heart disease among adults | 9.3% | 7.9–10.9 |
| Chronic obstructive pulmonary disease among adults | 8.7% | 6.8–10.9 |
| Depression among adults | 20.5% | 17.4–23.9 |
| Diagnosed diabetes among adults | 13.1% | 11.1–15.5 |
| High cholesterol among adults who have ever been screened | 40.9% | 36.1–45.6 |
| Obesity among adults | 30.7% | 24.1–37.7 |
| Stroke among adults | 4.5% | 3.8–5.4 |
| All teeth lost among adults aged >=65 years | 9.9% | 8.0–12.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.7% | 4.6–9.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.3% | 76.7–83.5 |
| Visits to doctor for routine checkup within the past year among adults | 78.3% | 74.6–81.7 |
| Cholesterol screening among adults | 89.7% | 87.9–91.5 |
| Colorectal cancer screening among adults aged 45–75 years | 70.4% | 65.4–75.2 |
| Visited dentist or dental clinic in the past year among adults | 64.9% | 61.2–68.5 |
| Mammography use among women aged 50-74 years | 72.8% | 64.3–80.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 12.7–18.6 |
| Current cigarette smoking among adults | 12.5% | 9.2–16.1 |
| No leisure-time physical activity among adults | 21.4% | 16.6–26.9 |
| Short sleep duration among adults | 32.5% | 26.7–38.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.5% | 14.8–22.7 |
| Frequent mental distress among adults | 13.0% | 11.0–15.1 |
| Frequent physical distress among adults | 14.9% | 12.5–17.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.3% | 9.2–13.7 |
| Any disability among adults | 31.1% | 26.0–36.8 |
| Hearing disability among adults | 11.1% | 9.6–12.8 |
| Independent living disability among adults | 7.3% | 5.9–9.0 |
| Mobility disability among adults | 15.5% | 12.5–18.9 |
| Self-care disability among adults | 4.0% | 3.2–4.9 |
| Vision disability among adults | 4.6% | 3.7–5.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.9% | 15.5–22.7 |
| Food insecurity in the past 12 months among adults | 8.2% | 6.0–10.9 |
| Received food stamps in the past 12 months among adults | 5.7% | 3.9–7.8 |
| Housing insecurity in the past 12 months among adults | 6.1% | 4.7–7.8 |
| Lack of reliable transportation in the past 12 months among adults | 5.2% | 4.1–6.4 |
| Loneliness among adults | 24.6% | 20.2–29.4 |
| Utility services shut-off threat in the past 12 months among adults | 4.5% | 3.6–5.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.2% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 0.9% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 38.5% | 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 | 4.6% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 83.4% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 13.9% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 81.5% | 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 | 1.6% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 86.2% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 48.4% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 64.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $92,031 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $363,800 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $496 | $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 | 81.9 yr ± 2.38 | 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 2.38 years of 81.9, 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