ZIP code
59427
in Cut Bank, MontanaPopulation 5,008
37.15/ 100
Ranked #28,454 of 32,066 US ZIPs (bottom 11.3%)
Ranked #314 of 341 Montana ZIPs (bottom 8.0%)
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.
Industrial-pollution burden
in the bottom 0.3% nationally
Lower is healthier
ST4thUS1stDefinition & 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 ›Mental-health provider access
0.39 per 1,000 residents
in the top 1.4% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The number of mental-health clinics located 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 ›Humid extreme heat
2.3 days/year
in the bottom 1.4% nationally
Lower is healthier
ST6thUS1stDefinition & 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 ›Walkability
1 intersections/sq mi
in the bottom 2.8% nationally
Higher is healthier
ST40thUS3rdDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
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 ›Elder-services access
0.39 per 1,000 residents
in the top 3.3% nationally
Higher is healthier
ST91stUS97thDefinition & 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 ›Colon-cancer screening
55.1%
in the bottom 5.0% nationally
Higher is healthier
ST4thUS5thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Slow internet speeds
2.3%
in the top 5.1% nationally
Lower is healthier
ST75thUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Grocery access
0.2 per 1,000 residents
in the top 7.6% nationally
Higher is healthier
ST85thUS92ndDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Lack of transportation
14.2%
in the top 7.6% nationally
Lower is healthier
ST93rdUS92ndDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
On the composite measure, Cut Bank, Montana (ZIP 59427) stands in the bottom 11.3% nationally (28,454th) and the bottom 8.0% of Montana (314th), based on limited data; treat as directional.
A number of readings press hard on the profile and set its tone: walkability registers in the bottom 2.8% nationally, and modeled colon screening lies in the bottom 5.0% nationally. Slow internet speeds is in the top 5.1% nationally, and modeled transportation registers in the top 7.6% nationally. On the brighter side, modeled industrial-pollution burden lies in the bottom 0.3% nationally, mental-health providers is in the top 1.4% nationally, and modeled humid heat registers in the bottom 1.4% nationally. Modeled air-toxics cancer risk lies in the bottom 2.8% nationally, elder services is in the top 3.3% nationally, and grocery registers in the top 7.6% nationally.
For clarity, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. ZIP 59454, 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 84%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Healthcare Access
healthier than 66%
5%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 9%
11%
Mental Health
healthier than 9%
8%
Disability
healthier than 9%
7%
Lifting this score
Environmental Hazard
healthier than 89%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Healthcare Access
healthier than 86%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Social Need / SDOH
healthier than 8%
16%
Preventive Care
healthier than 4%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 5%
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 ›
Findings that name this ZIP
2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 75.4 ± 2.2 years. A median household income of $61,094 predicts 78.1 years — 2.7 years below.
Ranked #3,784 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 75.4 ± 2.2 years. The 49 nearest ZIP codes with estimates average 80.0 years — 4.6 years below them.
Ranked #3,254 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
59411
Montanashares a border
Score 33.28
Closest healthier
59454
Montanashares a border
Score 37.67
Similar health profile
87034
New Mexico99% similar profile
Score 33.31
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 | 30.9% | 27.8–34.1 |
| High blood pressure among adults | 36.4% | 32.6–40.0 |
| Cancer (non-skin) or melanoma among adults | 8.5% | 7.7–9.4 |
| Current asthma among adults | 13.5% | 12.0–15.1 |
| Coronary heart disease among adults | 8.6% | 7.7–9.5 |
| Chronic obstructive pulmonary disease among adults | 10.7% | 9.4–12.2 |
| Depression among adults | 26.0% | 22.6–29.5 |
| Diagnosed diabetes among adults | 13.7% | 11.9–15.6 |
| High cholesterol among adults who have ever been screened | 33.0% | 29.3–36.6 |
| Obesity among adults | 37.1% | 31.3–42.9 |
| Stroke among adults | 4.9% | 4.5–5.4 |
| All teeth lost among adults aged >=65 years | 18.9% | 15.7–22.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.5% | 10.4–14.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.3% | 70.1–76.2 |
| Visits to doctor for routine checkup within the past year among adults | 69.8% | 65.9–73.6 |
| Cholesterol screening among adults | 79.5% | 77.2–81.8 |
| Colorectal cancer screening among adults aged 45–75 years | 55.1% | 49.7–60.3 |
| Visited dentist or dental clinic in the past year among adults | 50.1% | 46.4–53.8 |
| Mammography use among women aged 50-74 years | 68.8% | 60.9–75.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.4% | 15.5–21.7 |
| Current cigarette smoking among adults | 22.5% | 19.5–25.7 |
| No leisure-time physical activity among adults | 29.6% | 25.2–34.2 |
| Short sleep duration among adults | 36.1% | 30.4–42.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.3% | 24.1–31.0 |
| Frequent mental distress among adults | 21.3% | 18.9–23.7 |
| Frequent physical distress among adults | 19.2% | 17.0–21.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.7% | 17.6–22.1 |
| Any disability among adults | 39.3% | 34.8–44.0 |
| Hearing disability among adults | 10.9% | 9.7–12.1 |
| Independent living disability among adults | 12.6% | 11.2–14.1 |
| Mobility disability among adults | 19.7% | 17.3–22.3 |
| Self-care disability among adults | 6.0% | 5.4–6.7 |
| Vision disability among adults | 8.0% | 7.2–8.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.6% | 21.4–28.1 |
| Food insecurity in the past 12 months among adults | 23.1% | 19.9–26.2 |
| Received food stamps in the past 12 months among adults | 19.2% | 16.4–22.1 |
| Housing insecurity in the past 12 months among adults | 16.2% | 13.9–18.5 |
| Lack of reliable transportation in the past 12 months among adults | 14.2% | 12.5–15.9 |
| Loneliness among adults | 33.9% | 29.6–38.5 |
| Utility services shut-off threat in the past 12 months among adults | 12.6% | 11.0–14.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.2% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 7.8% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 15.3% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 15.0% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 4.2% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 2.0% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 90.0% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 32.6% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 70.8% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 4.1% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 0.5% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 55.1% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 17.1% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 41.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $61,094 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $174,300 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $953 | $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 | 75.4 yr ± 1.14 | 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 1.14 years of 75.4, 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