ZIP code
59853
in Noxon, MontanaPopulation 1,030
41.90/ 100
Ranked #25,301 of 32,066 US ZIPs (bottom 21%)
Ranked #289 of 341 Montana ZIPs (bottom 15%)
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.
Park land
86%
in the top 0.5% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Fine-particle (PM2.5) exceedance
4.2%
in the top 1.4% nationally
Lower is healthier
ST86thUS99thDefinition & 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 ›Distance to a hazardous-chemical facility
29.6 mi
in the top 2.1% nationally
Higher is healthier
ST92ndUS98thDefinition & 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 ›Industrial-pollution burden
in the bottom 2.9% nationally
Lower is healthier
ST21stUS3rdDefinition & 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 ›Hearing disability
12.1%
in the top 4.2% nationally
Lower is healthier
ST89thUS96thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Distance to an emergency room
23 mi
in the top 3.8% nationally
Lower is healthier
ST86thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Energy-cost burden
5.7%
in the top 3.9% nationally
Lower is healthier
ST81stUS96thDefinition & 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 ›Walkability
1.5 intersections/sq mi
in the bottom 5.0% nationally
Higher is healthier
ST57thUS5thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Tree cover
78.3%
in the top 5.5% nationally
Higher is healthier
ST95thUS95thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Loneliness
27.8%
in the bottom 6.4% nationally
Lower is healthier
ST22ndUS6thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›The read
In overall standing, Noxon, Montana (ZIP 59853) comes out in the bottom 21% nationally (25,301st) and the bottom 15% of Montana (289th).
The data points to real strain across a number of measures here: modeled fine-particle rests in the top 1.4% nationally, modeled hearing disability lies in the top 4.2% nationally, and distance to an emergency room sits in the top 3.8% nationally. Modeled energy burden settles in the top 3.9% nationally, and walkability registers in the bottom 5.0% nationally. On the brighter side, park land stands in the top 0.5% nationally, and distance to a hazardous-chemical facility lands in the top 2.1% nationally. Modeled industrial-pollution burden is in the bottom 2.9% nationally, and tree cover resides in the top 5.5% nationally. Modeled loneliness rests in the bottom 6.4% nationally.
Relative to the ZIPs around it, park land runs far higher than the surrounding ZIPs on this measure. In plain terms, 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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. The nearest healthier ZIP overall is ZIP 59874, 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
Climate / Disaster Risk
healthier than 95%
5%
About typical
Risk Behavior
healthier than 50%
11%
Mental Health
healthier than 49%
8%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 14%
16%
Environmental Hazard
healthier than 11%
14%
Preventive Care
healthier than 24%
13%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 16%
5%
Nothing measured is lifting this score.
About typical
Mental Health
healthier than 44%
8%
Climate / Disaster Risk
healthier than 44%
5%
Healthcare Access
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 9%
16%
Environmental Hazard
healthier than 23%
14%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 26%
11%
Disability
healthier than 8%
7%
“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
59844
Montanashares a border
Score 40.56
Closest healthier
59874
Montanashares a border
Score 43.17
Similar health profile
99124
Washington94% similar profile
Score 41.56
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 | 36.7% | 33.1–40.5 |
| High blood pressure among adults | 41.2% | 37.2–45.4 |
| Cancer (non-skin) or melanoma among adults | 11.7% | 10.6–12.9 |
| Current asthma among adults | 11.1% | 9.9–12.6 |
| Coronary heart disease among adults | 10.5% | 9.3–11.9 |
| Chronic obstructive pulmonary disease among adults | 11.4% | 9.7–13.2 |
| Depression among adults | 23.3% | 20.1–26.9 |
| Diagnosed diabetes among adults | 14.2% | 12.2–16.3 |
| High cholesterol among adults who have ever been screened | 38.4% | 34.3–42.7 |
| Obesity among adults | 36.2% | 29.8–43.0 |
| Stroke among adults | 5.3% | 4.7–6.0 |
| All teeth lost among adults aged >=65 years | 13.4% | 10.7–16.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.4% | 8.2–13.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.1% | 75.9–82.1 |
| Visits to doctor for routine checkup within the past year among adults | 73.2% | 69.5–77.0 |
| Cholesterol screening among adults | 85.1% | 82.9–87.1 |
| Colorectal cancer screening among adults aged 45–75 years | 64.8% | 59.1–69.7 |
| Visited dentist or dental clinic in the past year among adults | 59.0% | 55.3–62.5 |
| Mammography use among women aged 50-74 years | 71.1% | 62.5–78.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.6% | 13.9–19.7 |
| Current cigarette smoking among adults | 18.1% | 14.9–21.4 |
| No leisure-time physical activity among adults | 26.5% | 21.7–31.3 |
| Short sleep duration among adults | 31.9% | 26.2–37.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.3% | 20.7–28.0 |
| Frequent mental distress among adults | 16.7% | 14.6–18.8 |
| Frequent physical distress among adults | 17.9% | 15.6–20.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.4% | 13.2–17.5 |
| Any disability among adults | 37.1% | 32.2–41.9 |
| Hearing disability among adults | 12.1% | 10.7–13.5 |
| Independent living disability among adults | 10.1% | 8.7–11.5 |
| Mobility disability among adults | 19.1% | 16.3–22.0 |
| Self-care disability among adults | 5.6% | 4.8–6.4 |
| Vision disability among adults | 6.5% | 5.7–7.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.3% | 17.9–24.9 |
| Food insecurity in the past 12 months among adults | 14.6% | 11.6–17.7 |
| Received food stamps in the past 12 months among adults | 12.1% | 9.5–15.0 |
| Housing insecurity in the past 12 months among adults | 10.0% | 8.2–11.9 |
| Lack of reliable transportation in the past 12 months among adults | 8.5% | 7.1–9.8 |
| Loneliness among adults | 27.8% | 23.4–32.4 |
| Utility services shut-off threat in the past 12 months among adults | 7.9% | 6.6–9.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.8% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 40.0% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 13.5% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 11.8% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 4.3% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 2.3% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 82.5% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 16.2% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 78.2% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 4.6% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 0.7% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 66.5% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 33.4% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 50.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $60,417 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $293,300 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $832 | $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 | 81.1 yr ± 1.24 | 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 1.24 years of 81.1, 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