ZIP code
59483
in Sun River, MontanaPopulation 247
47.83/ 100
Ranked #19,135 of 32,066 US ZIPs (bottom 40%)
Ranked #200 of 341 Montana ZIPs (bottom 41%)
Ranked #9 of 17 Great Falls, MT 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.
Fine-particle (PM2.5) exceedance
3.0%
in the top 2.3% nationally
Lower is healthier
ST74thUS98thDefinition & 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 ›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 ›Walkability
1.2 intersections/sq mi
in the bottom 3.3% nationally
Higher is healthier
ST45thUS3rdDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Humid extreme heat
7.5 days/year
in the bottom 4.8% nationally
Lower is healthier
ST47thUS5thDefinition & 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 ›Homeownership rate
97.5%
in the top 6.1% nationally
Higher is healthier
ST92ndUS94thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Distance to a nursing home
13.3 mi
in the top 6.6% nationally
Lower is healthier
ST54thUS93rdDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Fiber broadband
97.4%
in the top 7.6% nationally
Higher is healthier
ST94thUS92ndDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Binge drinking
19.3%
in the top 9.3% nationally
Lower is healthier
ST72ndUS91stDefinition & 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 ›Housing-cost burden
38%
in the top 12.6% nationally
Lower is healthier
ST91stUS87thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Mammography
80%
in the top 11.1% nationally
Higher is healthier
ST98thUS89thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›The read
Sun River, Montana (ZIP 59483) ranks in the bottom 40% nationally (19,135th) and the bottom 41% of Montana (200th).
Several readings make the pressure on this area plain: modeled fine-particle settles in the top 2.3% nationally, and walkability rests in the bottom 3.3% nationally. Distance to a nursing home lands in the top 6.6% nationally, and modeled radon settles in the top 11.0% nationally. Modeled binge drinking rests in the top 9.3% nationally. On the encouraging side, modeled air-toxics cancer risk lands in the bottom 2.8% nationally, modeled humid heat settles in the bottom 4.8% nationally, and homeownership rests in the top 6.1% nationally. Fiber broadband lands in the top 7.6% nationally. Households without a vehicle settles at the national minimum, shared with about 16% of ZIPs.
For context, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. The closest ZIP that ranks healthier overall is ZIP 59404, 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 Great Falls, MT metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 90%
5%
About typical
Chronic Disease Burden
healthier than 41%
21%
Social Need / SDOH
healthier than 59%
16%
Preventive Care
healthier than 44%
13%
Holding it back
Environmental Hazard
healthier than 26%
14%
Risk Behavior
healthier than 33%
11%
Mental Health
healthier than 23%
8%
Disability
healthier than 39%
7%
Healthcare Access
healthier than 24%
5%
Lifting this score
Preventive Care
healthier than 65%
13%
Healthcare Access
healthier than 64%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Social Need / SDOH
healthier than 59%
16%
Environmental Hazard
healthier than 45%
14%
Holding it back
Risk Behavior
healthier than 12%
11%
Mental Health
healthier than 17%
8%
Disability
healthier than 32%
7%
Climate / Disaster Risk
healthier than 30%
5%
Lifting this score
Environmental Hazard
healthier than 60%
14%
About typical
Chronic Disease Burden
healthier than 50%
21%
Social Need / SDOH
healthier than 50%
16%
Risk Behavior
healthier than 40%
11%
Mental Health
healthier than 50%
8%
Climate / Disaster Risk
healthier than 40%
5%
Holding it back
Preventive Care
healthier than 30%
13%
Disability
healthier than 30%
7%
Healthcare Access
healthier than 30%
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
59404
Montanashares a border
Score 52.12
Closest healthier
59421
Montanashares a border
Score 50.25
Similar health profile
16743
Pennsylvania95% similar profile
Score 49.52
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 | 33.8% | 30.8–36.8 |
| High blood pressure among adults | 37.2% | 34.1–40.4 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.0–11.1 |
| Current asthma among adults | 12.0% | 10.6–13.3 |
| Coronary heart disease among adults | 7.9% | 6.8–9.0 |
| Chronic obstructive pulmonary disease among adults | 8.4% | 7.0–9.8 |
| Depression among adults | 26.0% | 23.0–29.0 |
| Diagnosed diabetes among adults | 11.5% | 9.9–13.1 |
| High cholesterol among adults who have ever been screened | 37.1% | 33.9–40.3 |
| Obesity among adults | 36.0% | 31.7–40.5 |
| Stroke among adults | 4.1% | 3.6–4.6 |
| All teeth lost among adults aged >=65 years | 10.4% | 8.6–12.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.2% | 8.1–12.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.4% | 73.3–79.2 |
| Visits to doctor for routine checkup within the past year among adults | 75.0% | 71.8–78.0 |
| Cholesterol screening among adults | 83.8% | 81.5–86.0 |
| Colorectal cancer screening among adults aged 45–75 years | 67.2% | 63.1–71.1 |
| Visited dentist or dental clinic in the past year among adults | 63.5% | 60.5–66.5 |
| Mammography use among women aged 50-74 years | 80.0% | 74.7–84.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.3% | 16.7–22.2 |
| Current cigarette smoking among adults | 15.7% | 12.8–18.5 |
| No leisure-time physical activity among adults | 24.7% | 21.0–28.6 |
| Short sleep duration among adults | 35.3% | 31.5–39.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.7% | 18.4–24.9 |
| Frequent mental distress among adults | 18.0% | 15.8–20.1 |
| Frequent physical distress among adults | 16.2% | 14.1–18.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.3% | 13.2–17.4 |
| Any disability among adults | 36.0% | 31.8–39.9 |
| Hearing disability among adults | 10.5% | 9.2–11.7 |
| Independent living disability among adults | 8.6% | 7.3–9.8 |
| Mobility disability among adults | 15.7% | 13.2–18.0 |
| Self-care disability among adults | 4.1% | 3.4–4.7 |
| 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 | 23.1% | 19.7–26.3 |
| Food insecurity in the past 12 months among adults | 12.5% | 10.0–15.1 |
| Received food stamps in the past 12 months among adults | 8.6% | 6.7–10.7 |
| Housing insecurity in the past 12 months among adults | 9.1% | 7.4–10.8 |
| Lack of reliable transportation in the past 12 months among adults | 7.3% | 6.1–8.5 |
| Loneliness among adults | 32.8% | 28.8–36.6 |
| Utility services shut-off threat in the past 12 months among adults | 6.5% | 5.4–7.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.0% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 4.5% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 11.1% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 16.8% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 5.7% | 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 | 79.3% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 38.0% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 97.5% | 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 | 10.1% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 82.4% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 48.6% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 63.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $97,813 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $429,400 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | — | $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 | 83.1 yr ± 1.55 | 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 1.55 years of 83.1, 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