ZIP code
59078
in Shawmut, MontanaPopulation 115
39.38/ 100
Ranked #27,148 of 32,066 US ZIPs (bottom 15%)
Ranked #306 of 341 Montana ZIPs (bottom 10.3%)
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.
Distance to a nursing home
34.9 mi
in the top 1.2% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Walkability
0.86 intersections/sq mi
in the bottom 2.1% nationally
Higher is healthier
ST30thUS2ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Slow internet speeds
5.5%
in the top 2.2% nationally
Lower is healthier
ST94thUS98thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Distance to a community health center
36.7 mi
in the top 2.7% nationally
Lower is healthier
ST85thUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
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 ›Humid extreme heat
6.8 days/year
in the bottom 4.3% nationally
Lower is healthier
ST39thUS4thDefinition & 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 ›Fine-particle (PM2.5) exceedance
1.9%
in the top 4.6% nationally
Lower is healthier
ST54thUS95thDefinition & 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 ›Median household income
$27,000
in the bottom 1.4% 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 ›Poverty rate
28.7%
in the top 7.7% nationally
Lower is healthier
ST91stUS92ndDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Mammography
68.1%
in the bottom 7.8% nationally
Higher is healthier
ST10thUS8thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›The read
On the composite measure, Shawmut, Montana (ZIP 59078) stands in the bottom 15% nationally (27,148th) and the bottom 10.3% of Montana (306th).
On the ground here, a handful of readings tell most of the story: distance to a nursing home resides in the top 1.2% nationally, and walkability stands in the bottom 2.1% nationally. Slow internet speeds sits in the top 2.2% nationally, and distance to a community health center resides in the top 2.7% nationally. Modeled fine-particle stands in the top 4.6% nationally, household income sits in the bottom 1.4% nationally, and poverty resides in the top 7.7% nationally. Modeled mammography stands in the bottom 7.8% nationally. More positively, modeled air-toxics cancer risk sits in the bottom 2.8% nationally, and humid heat resides in the bottom 4.3% nationally.
Set beside the wider area around it, slow internet speeds runs far higher than the surrounding ZIPs on this measure. For clarity, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. 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 community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. ZIP 59036, just across the boundary, ranks better overall among the ZIPs nearby.
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 65%
14%
Climate / Disaster Risk
healthier than 98%
5%
About typical
Risk Behavior
healthier than 48%
11%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 15%
16%
Preventive Care
healthier than 22%
13%
Mental Health
healthier than 29%
8%
Disability
healthier than 16%
7%
Healthcare Access
in the bottom 0.3%
5%
Lifting this score
Environmental Hazard
healthier than 76%
14%
Climate / Disaster Risk
healthier than 67%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 24%
13%
Risk Behavior
healthier than 24%
11%
Mental Health
healthier than 20%
8%
Disability
healthier than 5%
7%
Healthcare Access
healthier than 2%
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
59036
Montanashares a border
Score 42.94
Closest healthier
59055
Montanashares a border
Score 53.97
Similar health profile
59531
Montana98% similar profile
Score 39.58
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 | 40.4% | 36.6–44.3 |
| High blood pressure among adults | 42.8% | 38.5–47.1 |
| Cancer (non-skin) or melanoma among adults | 11.9% | 10.7–13.1 |
| Current asthma among adults | 12.6% | 11.3–14.1 |
| Coronary heart disease among adults | 9.5% | 8.4–10.8 |
| Chronic obstructive pulmonary disease among adults | 11.9% | 10.2–13.9 |
| Depression among adults | 25.6% | 22.3–29.2 |
| Diagnosed diabetes among adults | 14.8% | 12.8–17.0 |
| High cholesterol among adults who have ever been screened | 39.8% | 35.6–44.0 |
| Obesity among adults | 34.2% | 27.5–41.6 |
| Stroke among adults | 5.4% | 4.8–6.0 |
| All teeth lost among adults aged >=65 years | 15.1% | 12.3–18.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.0% | 8.0–12.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.6% | 76.4–82.5 |
| Visits to doctor for routine checkup within the past year among adults | 76.0% | 72.4–79.3 |
| Cholesterol screening among adults | 86.7% | 84.7–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 59.3% | 54.1–64.1 |
| Visited dentist or dental clinic in the past year among adults | 59.3% | 55.8–62.8 |
| Mammography use among women aged 50-74 years | 68.1% | 60.7–75.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 13.0–18.2 |
| Current cigarette smoking among adults | 18.5% | 15.4–21.8 |
| No leisure-time physical activity among adults | 28.2% | 23.6–33.3 |
| Short sleep duration among adults | 32.7% | 26.8–38.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.3% | 21.8–29.1 |
| Frequent mental distress among adults | 17.5% | 15.4–19.6 |
| Frequent physical distress among adults | 19.0% | 16.7–21.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.0% | 13.9–18.4 |
| Any disability among adults | 38.3% | 33.7–43.3 |
| Hearing disability among adults | 11.1% | 9.8–12.5 |
| Independent living disability among adults | 10.8% | 9.4–12.6 |
| Mobility disability among adults | 20.8% | 18.0–24.1 |
| Self-care disability among adults | 5.9% | 5.1–6.8 |
| Vision disability among adults | 6.8% | 5.9–7.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.6% | 18.4–25.0 |
| Food insecurity in the past 12 months among adults | 15.4% | 12.5–18.7 |
| Received food stamps in the past 12 months among adults | 12.5% | 10.0–15.3 |
| Housing insecurity in the past 12 months among adults | 10.6% | 8.9–12.6 |
| Lack of reliable transportation in the past 12 months among adults | 8.6% | 7.3–10.0 |
| Loneliness among adults | 29.1% | 24.8–33.7 |
| Utility services shut-off threat in the past 12 months among adults | 8.1% | 6.8–9.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 28.7% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 1.2% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 34.1% | 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 | 83.3% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 11.1% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 74.1% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 5.6% | 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 | 62.2% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 40.0% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 60.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $27,000 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $141,700 | $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 | 80.7 yr ± 1.43 | 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 1.43 years of 80.7, 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