ZIP code
59353
in Wibaux, MontanaPopulation 1,204
49.19/ 100
Ranked #17,399 of 32,066 US ZIPs (bottom 46%)
Ranked #178 of 341 Montana ZIPs (bottom 48%)
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.
Walkability
0.51 intersections/sq mi
in the bottom 1.1% nationally
Higher is healthier
ST11thUS1stDefinition & 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 Superfund site
156.5 mi
in the top 1.7% nationally
Higher is healthier
ST88thUS98thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
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 ›Expected annual disaster loss
$0
in the top 3.0% nationally
Lower is healthier
ST96thUS97thDefinition & 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 ›Natural-disaster risk
in the top 4.0% nationally
Lower is healthier
ST96thUS96thDefinition & 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 ›Industrial-pollution burden
in the bottom 4.5% nationally
Lower is healthier
ST24thUS4thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Humid extreme heat
8 days/year
in the bottom 5.2% nationally
Lower is healthier
ST49thUS5thDefinition & 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 ›Housing-cost burden
7.3%
in the bottom 6.6% nationally
Lower is healthier
ST10thUS7thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Radon
3.1 pCi/L
in the top 9.3% nationally
Lower is healthier
ST95thUS91stDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Fine-particle (PM2.5) exceedance
1.3%
in the top 7.5% nationally
Lower is healthier
ST37thUS93rdDefinition & 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 ›The read
Wibaux, Montana (ZIP 59353), on the composite measure, lands in the bottom 46% nationally (17,399th) and the bottom 48% of Montana (178th), based on limited data; treat as directional.
What the numbers press hardest on defines much of the story here: walkability sits in the bottom 1.1% nationally, modeled expected annual loss registers in the top 3.0% nationally, and modeled disaster risk lands in the top 4.0% nationally. Modeled radon resides in the top 9.3% nationally, and fine-particle lies in the top 7.5% nationally. On the encouraging side, distance to a Superfund site settles in the top 1.7% nationally, and modeled air-toxics cancer risk stands in the bottom 2.8% nationally. Modeled industrial-pollution burden is in the bottom 4.5% nationally, and humid heat rests in the bottom 5.2% nationally. Housing-cost burden sits in the bottom 6.6% nationally.
Set against the neighboring ZIPs, expected annual loss runs far higher than the surrounding ZIPs on this measure. In everyday language, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. A healthier neighbor overall sits at ZIP 58621, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 74%
14%
Risk Behavior
healthier than 67%
11%
Climate / Disaster RiskPartial
healthier than 93%
5%
About typical
Mental Health
healthier than 52%
8%
Healthcare Access
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Social Need / SDOH
healthier than 31%
16%
Preventive Care
healthier than 27%
13%
Disability
healthier than 35%
7%
Lifting this score
Environmental Hazard
healthier than 83%
14%
Healthcare Access
healthier than 81%
5%
About typical
Risk Behavior
healthier than 45%
11%
Mental Health
healthier than 49%
8%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Social Need / SDOH
healthier than 28%
16%
Preventive Care
healthier than 31%
13%
Disability
healthier than 27%
7%
Climate / Disaster RiskPartial
healthier than 37%
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
58621
North Dakotashares a border
Score 50.94
Closest healthier
58632
North Dakotashares a border
Score 50.93
Similar health profile
80818
Colorado95% similar profile
Score 49.42
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 | 33.5% | 29.8–37.4 |
| High blood pressure among adults | 38.6% | 34.1–43.1 |
| Cancer (non-skin) or melanoma among adults | 11.4% | 10.4–12.6 |
| Current asthma among adults | 11.0% | 9.7–12.4 |
| Coronary heart disease among adults | 8.7% | 7.6–9.7 |
| Chronic obstructive pulmonary disease among adults | 8.8% | 7.5–10.2 |
| Depression among adults | 23.3% | 19.9–27.0 |
| Diagnosed diabetes among adults | 12.0% | 10.3–14.0 |
| High cholesterol among adults who have ever been screened | 36.6% | 32.2–41.2 |
| Obesity among adults | 32.9% | 25.4–41.0 |
| Stroke among adults | 4.5% | 4.0–5.0 |
| All teeth lost among adults aged >=65 years | 18.4% | 15.2–22.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.0% | 7.4–11.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.1% | 74.9–81.0 |
| Visits to doctor for routine checkup within the past year among adults | 74.2% | 70.3–77.9 |
| Cholesterol screening among adults | 85.1% | 83.1–86.9 |
| Colorectal cancer screening among adults aged 45–75 years | 63.7% | 58.0–68.8 |
| Visited dentist or dental clinic in the past year among adults | 62.4% | 58.5–65.8 |
| Mammography use among women aged 50-74 years | 70.5% | 61.6–78.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 14.4–20.6 |
| Current cigarette smoking among adults | 14.5% | 12.0–17.3 |
| No leisure-time physical activity among adults | 24.6% | 20.0–29.6 |
| Short sleep duration among adults | 30.8% | 24.2–37.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.5% | 17.6–23.8 |
| Frequent mental distress among adults | 16.4% | 14.4–18.5 |
| Frequent physical distress among adults | 15.6% | 13.6–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.4% | 12.5–16.4 |
| Any disability among adults | 34.5% | 29.7–39.2 |
| Hearing disability among adults | 10.9% | 9.6–12.3 |
| Independent living disability among adults | 9.0% | 7.7–10.3 |
| Mobility disability among adults | 16.5% | 14.0–19.1 |
| Self-care disability among adults | 4.3% | 3.7–4.9 |
| Vision disability among adults | 5.4% | 4.7–6.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.7% | 17.6–24.3 |
| Food insecurity in the past 12 months among adults | 11.5% | 9.5–14.0 |
| Received food stamps in the past 12 months among adults | 8.5% | 6.9–10.6 |
| Housing insecurity in the past 12 months among adults | 8.6% | 7.3–10.3 |
| Lack of reliable transportation in the past 12 months among adults | 7.1% | 6.1–8.2 |
| Loneliness among adults | 28.8% | 24.2–34.0 |
| Utility services shut-off threat in the past 12 months among adults | 6.4% | 5.4–7.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.7% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 11.6% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 4.0% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 22.7% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 1.7% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 3.0% | 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) | 7.3% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 72.7% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 4.5% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 5.1% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 54.9% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 20.4% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 41.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $68,250 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $98,800 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $963 | $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 | 78.5 yr ± 0.89 | 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 0.89 years of 78.5, 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