ZIP code
59540
in Rudyard, MontanaPopulation 430
42.34/ 100
Ranked #24,944 of 32,066 US ZIPs (bottom 22%)
Ranked #286 of 341 Montana ZIPs (bottom 16%)
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.
Humid extreme heat
1.9 days/year
in the bottom 1.2% nationally
Lower is healthier
ST4thUS1stDefinition & 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 ›Distance to a nursing home
35.1 mi
in the top 1.2% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Walkability
1 intersections/sq mi
in the bottom 2.6% nationally
Higher is healthier
ST37thUS3rdDefinition & 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 ›Distance to a community health center
35.8 mi
in the top 2.8% nationally
Lower is healthier
ST84thUS97thDefinition & 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 ›Mammography
66.8%
in the bottom 5.1% nationally
Higher is healthier
ST5thUS5thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Binge drinking
20.4%
in the top 4.8% nationally
Lower is healthier
ST86thUS95thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Fiber broadband
97.7%
in the top 7.2% nationally
Higher is healthier
ST95thUS93rdDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Tree cover
0.00%
in the bottom 9.9% nationally
Higher is healthier
ST4thUS10thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Energy-cost burden
5.0%
in the top 8.8% nationally
Lower is healthier
ST71stUS91stDefinition & 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 ›The read
On the composite measure, Rudyard, Montana (ZIP 59540) stands in the bottom 22% nationally (24,944th) and the bottom 16% of Montana (286th), based on limited data; treat as directional.
A number of readings press hard on the profile and set its tone: distance to a nursing home is in the top 1.2% nationally, and walkability registers in the bottom 2.6% nationally. Distance to a community health center lies in the top 2.8% nationally, and modeled mammography is in the bottom 5.1% nationally. Modeled binge drinking registers in the top 4.8% nationally. On the brighter side, modeled humid heat lies in the bottom 1.2% nationally, modeled air-toxics cancer risk is in the bottom 2.8% nationally, and fiber broadband registers in the top 7.2% nationally. Unemployment lies at the national minimum, shared with about 15% of ZIPs. Households without a vehicle is at the national minimum, shared with about 16% of ZIPs.
For clarity, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. ZIP 59442, just across the boundary, ranks better overall among the ZIPs nearby.
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 80%
14%
Climate / Disaster RiskPartial
healthier than 99%
5%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Social Need / SDOH
healthier than 21%
16%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 27%
11%
Mental Health
healthier than 18%
8%
Disability
healthier than 31%
7%
Healthcare Access
in the bottom 0.2%
5%
Lifting this score
Environmental Hazard
healthier than 86%
14%
Climate / Disaster RiskPartial
healthier than 78%
5%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Social Need / SDOH
healthier than 17%
16%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 23%
7%
Healthcare Access
healthier than 2%
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
59442
Montanashares a border
Score 51.79
Closest healthier
59501
Montanashares a border
Score 43.67
Similar health profile
59085
Montana99% similar profile
Score 42.10
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 | 32.0% | 28.6–35.3 |
| High blood pressure among adults | 38.3% | 34.5–42.1 |
| Cancer (non-skin) or melanoma among adults | 9.8% | 8.8–10.9 |
| Current asthma among adults | 11.7% | 10.3–13.2 |
| Coronary heart disease among adults | 7.8% | 6.8–8.9 |
| Chronic obstructive pulmonary disease among adults | 9.4% | 7.9–11.0 |
| Depression among adults | 26.1% | 22.7–29.8 |
| Diagnosed diabetes among adults | 12.0% | 10.3–13.9 |
| High cholesterol among adults who have ever been screened | 36.5% | 32.7–40.5 |
| Obesity among adults | 37.3% | 31.2–43.4 |
| Stroke among adults | 4.2% | 3.7–4.7 |
| All teeth lost among adults aged >=65 years | 14.0% | 11.5–17.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.0% | 7.8–12.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.2% | 72.1–78.0 |
| Visits to doctor for routine checkup within the past year among adults | 73.0% | 69.4–76.6 |
| Cholesterol screening among adults | 81.5% | 79.2–83.8 |
| Colorectal cancer screening among adults aged 45–75 years | 61.8% | 57.1–66.7 |
| Visited dentist or dental clinic in the past year among adults | 62.8% | 59.5–66.1 |
| Mammography use among women aged 50-74 years | 66.8% | 59.2–74.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.4% | 17.3–23.7 |
| Current cigarette smoking among adults | 17.1% | 14.1–20.3 |
| No leisure-time physical activity among adults | 25.0% | 20.8–29.7 |
| Short sleep duration among adults | 33.6% | 29.1–38.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.3% | 18.9–26.0 |
| Frequent mental distress among adults | 18.8% | 16.5–21.2 |
| Frequent physical distress among adults | 16.7% | 14.5–19.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.4% | 14.2–19.0 |
| Any disability among adults | 34.1% | 29.7–38.9 |
| Hearing disability among adults | 9.6% | 8.4–10.8 |
| Independent living disability among adults | 9.8% | 8.4–11.4 |
| Mobility disability among adults | 16.3% | 13.8–19.0 |
| Self-care disability among adults | 4.6% | 3.9–5.4 |
| Vision disability among adults | 5.7% | 4.9–6.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.5% | 20.0–27.4 |
| Food insecurity in the past 12 months among adults | 14.0% | 11.3–17.1 |
| Received food stamps in the past 12 months among adults | 11.4% | 9.0–14.2 |
| Housing insecurity in the past 12 months among adults | 10.1% | 8.3–12.0 |
| Lack of reliable transportation in the past 12 months among adults | 8.5% | 7.2–10.0 |
| Loneliness among adults | 35.2% | 30.5–40.2 |
| Utility services shut-off threat in the past 12 months among adults | 7.8% | 6.6–9.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.9% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 18.3% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 5.3% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 36.4% | 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) | 17.1% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 67.4% | 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 | 0.9% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 32.2% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 18.8% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 40.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $74,250 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $131,300 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $650 | $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 | 78.0 yr ± 0.96 | 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 0.96 years of 78.0, 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