ZIP code
59851
in Milltown, MontanaPopulation 145
52.41/ 100
Ranked #12,886 of 32,066 US ZIPs (top 40%)
Ranked #106 of 341 Montana ZIPs (top 31%)
Ranked #11 of 18 Missoula, MT ZIPs (bottom 39%)
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.
Binge drinking
24.5%
in the top 0.7% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Transportation noise
47.6%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Poverty rate
67.6%
in the top 0.8% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Loud transportation noise
6.0%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Housing-cost burden
60.4%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Fine-particle (PM2.5) exceedance
4.7%
in the top 1.2% nationally
Lower is healthier
ST88thUS99thDefinition & 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 ›Short sleep
27%
in the bottom 1.5% nationally
Lower is healthier
ST4thUS1stDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Expected annual disaster loss
$0
in the bottom 2.9% nationally
Lower is healthier
ST1stUS3rdDefinition & 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 bottom 3.1% nationally
Lower is healthier
ST1stUS3rdDefinition & 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 ›Median household income
$18,883
in the bottom 0.3% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
Overall, Milltown, Montana (ZIP 59851) places in the top 40% healthiest ZIPs nationally (12,886th) and the top 31% of Montana (106th).
The data opens on a genuinely even set of readings: modeled short sleep resides in the bottom 1.5% nationally, and expected annual loss is in the bottom 2.9% nationally. Modeled disaster risk lands in the bottom 3.1% nationally. On the other side, modeled binge drinking stands in the top 0.7% nationally, modeled transportation noise registers in the top 0.5% nationally, and poverty settles in the top 0.8% nationally. Modeled loud transportation noise sits in the top 0.9% nationally, housing-cost burden lies in the top 1.2% nationally, and modeled fine-particle rests in the top 1.2% nationally. Household income resides in the bottom 0.3% nationally.
Beside the areas that surround it, transportation noise runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Among nearby ZIPs, the nearest healthier one overall is ZIP 59802, 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 Missoula, MT metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Risk Behavior
healthier than 69%
11%
Disability
healthier than 80%
7%
Climate / Disaster Risk
healthier than 84%
5%
About typical
Social Need / SDOH
healthier than 41%
16%
Holding it back
Environmental Hazard
in the bottom 1.0%
14%
Preventive Care
healthier than 26%
13%
Mental Health
healthier than 18%
8%
Healthcare Access
healthier than 39%
5%
Lifting this score
Chronic Disease Burden
healthier than 95%
21%
Disability
healthier than 93%
7%
Healthcare Access
healthier than 75%
5%
About typical
Risk Behavior
healthier than 51%
11%
Holding it back
Social Need / SDOH
healthier than 35%
16%
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
healthier than 29%
13%
Mental Health
healthier than 11%
8%
Climate / Disaster Risk
healthier than 17%
5%
Lifting this score
Chronic Disease Burden
healthier than 81%
21%
Disability
healthier than 94%
7%
Healthcare Access
healthier than 69%
5%
About typical
Risk Behavior
healthier than 50%
11%
Holding it back
Social Need / SDOH
in the bottom 0.00%
16%
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
healthier than 19%
13%
Mental Health
healthier than 6%
8%
Climate / Disaster Risk
healthier than 6%
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
59802
Montanashares a border
Score 56.23
Closest healthier
59823
Montanashares a border
Score 53.25
Similar health profile
55987
Minnesota98% similar profile
Score 52.07
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 | 22.3% | 19.9–24.8 |
| High blood pressure among adults | 26.5% | 23.5–29.4 |
| Cancer (non-skin) or melanoma among adults | 7.7% | 6.9–8.6 |
| Current asthma among adults | 10.8% | 9.5–12.2 |
| Coronary heart disease among adults | 5.3% | 4.5–6.2 |
| Chronic obstructive pulmonary disease among adults | 5.7% | 4.5–7.1 |
| Depression among adults | 26.9% | 23.6–30.2 |
| Diagnosed diabetes among adults | 8.2% | 6.9–9.7 |
| High cholesterol among adults who have ever been screened | 31.6% | 28.5–34.7 |
| Obesity among adults | 26.0% | 22.1–30.0 |
| Stroke among adults | 2.8% | 2.4–3.3 |
| All teeth lost among adults aged >=65 years | 15.3% | 12.5–18.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.7% | 5.6–10.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.0% | 66.4–73.4 |
| Visits to doctor for routine checkup within the past year among adults | 69.8% | 66.2–73.4 |
| Cholesterol screening among adults | 79.7% | 76.4–83.0 |
| Colorectal cancer screening among adults aged 45–75 years | 69.2% | 65.0–73.1 |
| Visited dentist or dental clinic in the past year among adults | 66.9% | 63.8–69.9 |
| Mammography use among women aged 50-74 years | 78.9% | 73.1–84.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 24.5% | 21.4–27.9 |
| Current cigarette smoking among adults | 12.4% | 9.3–15.8 |
| No leisure-time physical activity among adults | 16.1% | 12.7–19.8 |
| Short sleep duration among adults | 27.0% | 23.4–31.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.4% | 12.5–18.6 |
| Frequent mental distress among adults | 18.3% | 15.5–20.9 |
| Frequent physical distress among adults | 12.1% | 10.3–14.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.1% | 11.4–16.9 |
| Any disability among adults | 26.4% | 22.2–30.9 |
| Hearing disability among adults | 7.1% | 6.1–8.1 |
| Independent living disability among adults | 7.1% | 5.7–8.6 |
| Mobility disability among adults | 9.6% | 7.7–11.7 |
| Self-care disability among adults | 2.9% | 2.4–3.6 |
| Vision disability among adults | 3.7% | 3.0–4.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.6% | 18.1–25.1 |
| Food insecurity in the past 12 months among adults | 9.3% | 6.9–12.3 |
| Received food stamps in the past 12 months among adults | 6.3% | 4.6–8.4 |
| Housing insecurity in the past 12 months among adults | 7.9% | 6.1–10.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 5.3–8.2 |
| Loneliness among adults | 32.0% | 28.0–35.8 |
| Utility services shut-off threat in the past 12 months among adults | 5.4% | 4.3–6.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 67.6% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 14.5% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 18.1% | 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 | 77.1% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 60.4% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 88.5% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 0.0% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 20.0% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 50.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $18,883 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $225,000 | $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 | 82.1 yr ± 2.12 | 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 2.12 years of 82.1, 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