ZIP code
59864
in Ronan, MontanaPopulation 7,301
39.33/ 100
Ranked #27,180 of 32,066 US ZIPs (bottom 15%)
Ranked #307 of 341 Montana ZIPs (bottom 10.0%)
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
4.5%
in the top 1.3% nationally
Lower is healthier
ST87thUS99thDefinition & 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 ›Elder-services access
0.41 per 1,000 residents
in the top 3.1% nationally
Higher is healthier
ST92ndUS97thDefinition & source ›
The number of services for older adults and people with disabilities inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Distance to a hazardous-chemical facility
20.7 mi
in the top 4.5% nationally
Higher is healthier
ST83rdUS96thDefinition & 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 ›Arsenic in groundwater
17.8%
in the top 7.7% nationally
Lower is healthier
ST95thUS92ndDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Slow internet speeds
1.2%
in the top 9.5% nationally
Lower is healthier
ST62ndUS91stDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›High cholesterol
32.3%
in the bottom 7.4% nationally
Lower is healthier
ST14thUS7thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Lack of transportation
12.7%
in the top 11.1% nationally
Lower is healthier
ST92ndUS89thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Humid extreme heat
16.9 days/year
in the bottom 13.5% nationally
Lower is healthier
ST90thUS13thDefinition & 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 ›Utility shut-off threat
11.3%
in the top 17% nationally
Lower is healthier
ST92ndUS83rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Subsidized affordable housing
91 units
in the top 19% nationally
Higher is healthier
ST95thUS81stDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›The read
By the composite measure, Ronan, Montana (ZIP 59864) sits in the bottom 15% nationally (27,180th) and the bottom 10.0% of Montana (307th).
What the numbers press hardest on defines much of the story here: modeled fine-particle lies in the top 1.3% nationally, modeled arsenic settles in the top 7.7% nationally, and slow internet speeds stands in the top 9.5% nationally. Modeled mammography is in the bottom 10.4% nationally, and fatal road crashes rests in the top 11.0% nationally. On the encouraging side, elder services sits in the top 3.1% nationally, and distance to a hazardous-chemical facility registers in the top 4.5% nationally. Distance to an emergency room lands at the national minimum, shared with about 11% of ZIPs. Modeled extreme heat resides at the national minimum, shared with about 19% of ZIPs. Modeled high cholesterol lies in the bottom 7.4% nationally.
In plain language, 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. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. ZIP 59824, just across the boundary, ranks healthier overall.
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 97%
5%
About typical
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Social Need / SDOH
healthier than 25%
16%
Environmental Hazard
healthier than 9%
14%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 26%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 16%
7%
Lifting this score
Healthcare Access
healthier than 77%
5%
About typical
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Social Need / SDOH
healthier than 21%
16%
Environmental Hazard
healthier than 17%
14%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 4%
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
59824
Montanashares a border
Score 41.67
Closest healthier
59826
Montanashares a border
Score 52.39
Similar health profile
99013
Washington97% similar profile
Score 39.24
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 | 32.1% | 29.2–35.2 |
| High blood pressure among adults | 36.2% | 32.8–39.9 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.2–9.9 |
| Current asthma among adults | 12.9% | 11.6–14.5 |
| Coronary heart disease among adults | 8.5% | 7.7–9.4 |
| Chronic obstructive pulmonary disease among adults | 9.8% | 8.7–11.0 |
| Depression among adults | 26.5% | 23.2–30.1 |
| Diagnosed diabetes among adults | 13.0% | 11.4–14.8 |
| High cholesterol among adults who have ever been screened | 32.3% | 29.0–35.9 |
| Obesity among adults | 35.4% | 30.1–41.2 |
| Stroke among adults | 4.8% | 4.4–5.2 |
| All teeth lost among adults aged >=65 years | 19.0% | 15.8–22.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.1% | 10.5–14.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.0% | 71.0–76.8 |
| Visits to doctor for routine checkup within the past year among adults | 73.1% | 69.6–76.5 |
| Cholesterol screening among adults | 80.1% | 78.0–82.1 |
| Colorectal cancer screening among adults aged 45–75 years | 59.8% | 54.6–64.8 |
| Visited dentist or dental clinic in the past year among adults | 53.6% | 49.8–57.1 |
| Mammography use among women aged 50-74 years | 69.0% | 60.8–76.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.4% | 15.7–21.5 |
| Current cigarette smoking among adults | 19.1% | 16.7–21.7 |
| No leisure-time physical activity among adults | 26.6% | 23.0–30.7 |
| Short sleep duration among adults | 34.3% | 28.9–40.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.9% | 22.1–28.0 |
| Frequent mental distress among adults | 20.0% | 18.0–22.3 |
| Frequent physical distress among adults | 17.8% | 15.9–19.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.0% | 16.1–20.1 |
| Any disability among adults | 37.2% | 33.3–41.4 |
| Hearing disability among adults | 10.7% | 9.6–11.9 |
| Independent living disability among adults | 11.5% | 10.3–12.8 |
| Mobility disability among adults | 18.2% | 16.1–20.5 |
| Self-care disability among adults | 5.4% | 4.9–6.0 |
| Vision disability among adults | 7.4% | 6.8–8.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.9% | 20.5–27.7 |
| Food insecurity in the past 12 months among adults | 20.5% | 17.6–23.6 |
| Received food stamps in the past 12 months among adults | 15.9% | 13.6–18.4 |
| Housing insecurity in the past 12 months among adults | 14.9% | 12.8–17.2 |
| Lack of reliable transportation in the past 12 months among adults | 12.7% | 11.2–14.3 |
| Loneliness among adults | 32.7% | 28.0–37.5 |
| Utility services shut-off threat in the past 12 months among adults | 11.3% | 9.7–13.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.0% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 24.0% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 9.3% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 22.3% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 6.7% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 6.7% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 83.5% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 27.2% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 70.4% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 4.0% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 1.8% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 47.8% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 19.4% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 38.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $61,978 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $297,700 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $913 | $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 | 79.0 yr ± 1.42 | 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 1.42 years of 79.0, 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