ZIP code
59349
in Terry, MontanaPopulation 1,025
40.76/ 100
Ranked #26,218 of 32,066 US ZIPs (bottom 18%)
Ranked #298 of 341 Montana ZIPs (bottom 12.7%)
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 0.2% 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 ›Walkability
0.36 intersections/sq mi
in the bottom 0.8% nationally
Higher is healthier
ST4thUS1stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Hearing disability
13.1%
in the top 1.8% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Distance to a Superfund site
137.2 mi
in the top 2.1% nationally
Higher is healthier
ST86thUS98thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Fatal road crashes
58.5 per 100,000 residents per year
in the top 2.5% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
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 ›Coronary heart disease
11.1%
in the top 3.9% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Stroke
5.8%
in the top 5.3% nationally
Lower is healthier
ST97thUS95thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Energy-cost burden
5.4%
in the top 6.0% nationally
Lower is healthier
ST78thUS94thDefinition & 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 ›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
Overall, Terry, Montana (ZIP 59349) lands in the bottom 18% nationally (26,218th) and the bottom 12.7% of Montana (298th), based on limited data; treat as directional.
A number of measures mark where this area is under strain: walkability settles in the bottom 0.8% nationally, and modeled hearing disability resides in the top 1.8% nationally. Fatal road crashes registers in the top 2.5% nationally, and modeled coronary heart disease rests in the top 3.9% nationally. Modeled stroke stands in the top 5.3% nationally, and energy burden lies in the top 6.0% nationally. On the brighter side, modeled industrial-pollution burden lands in the bottom 0.2% nationally, distance to a Superfund site sits in the top 2.1% nationally, and modeled air-toxics cancer risk is in the bottom 2.8% nationally. Distance to an emergency room settles at the national minimum, shared with about 11% of ZIPs.
A note on the terms: industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. For a healthier nearby comparison, ZIP 59214, just across the boundary, ranks better 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
Environmental Hazard
healthier than 73%
14%
Climate / Disaster RiskPartial
healthier than 79%
5%
About typical
Risk Behavior
healthier than 52%
11%
Mental Health
healthier than 50%
8%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Social Need / SDOH
healthier than 13%
16%
Preventive Care
healthier than 18%
13%
Disability
healthier than 12%
7%
Healthcare Access
healthier than 23%
5%
Lifting this score
Environmental Hazard
healthier than 83%
14%
Healthcare Access
healthier than 63%
5%
About typical
Mental Health
healthier than 45%
8%
Holding it back
Chronic Disease Burden
healthier than 2%
21%
Social Need / SDOH
healthier than 8%
16%
Preventive Care
healthier than 14%
13%
Risk Behavior
healthier than 27%
11%
Disability
healthier than 4%
7%
Climate / Disaster RiskPartial
healthier than 11%
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
59214
Montanashares a border
Score 50.49
Closest healthier
59215
Montanashares a border
Score 52.79
Similar health profile
82512
Wyoming97% similar profile
Score 34.26
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 | 38.9% | 35.1–42.9 |
| High blood pressure among adults | 42.7% | 38.3–47.3 |
| Cancer (non-skin) or melanoma among adults | 12.5% | 11.3–13.7 |
| Current asthma among adults | 11.5% | 10.2–12.9 |
| Coronary heart disease among adults | 11.1% | 9.8–12.4 |
| Chronic obstructive pulmonary disease among adults | 12.3% | 10.6–14.3 |
| Depression among adults | 23.2% | 19.8–27.0 |
| Diagnosed diabetes among adults | 15.3% | 13.2–17.6 |
| High cholesterol among adults who have ever been screened | 39.0% | 34.6–43.5 |
| Obesity among adults | 33.8% | 26.5–42.0 |
| Stroke among adults | 5.8% | 5.1–6.5 |
| All teeth lost among adults aged >=65 years | 20.4% | 16.9–23.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.2% | 8.9–13.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.7% | 77.7–83.4 |
| Visits to doctor for routine checkup within the past year among adults | 75.7% | 71.9–79.1 |
| Cholesterol screening among adults | 85.3% | 83.3–87.2 |
| Colorectal cancer screening among adults aged 45–75 years | 61.2% | 55.4–66.3 |
| Visited dentist or dental clinic in the past year among adults | 51.8% | 47.6–55.4 |
| Mammography use among women aged 50-74 years | 68.1% | 59.4–75.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.4–17.9 |
| Current cigarette smoking among adults | 18.1% | 15.2–21.2 |
| No leisure-time physical activity among adults | 29.8% | 24.8–35.2 |
| Short sleep duration among adults | 31.8% | 25.4–38.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.5% | 22.0–29.5 |
| Frequent mental distress among adults | 16.7% | 14.7–18.8 |
| Frequent physical distress among adults | 18.6% | 16.2–21.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.7% | 13.6–18.0 |
| Any disability among adults | 38.9% | 34.1–44.0 |
| Hearing disability among adults | 13.1% | 11.7–14.7 |
| Independent living disability among adults | 11.0% | 9.5–12.6 |
| Mobility disability among adults | 21.0% | 18.1–24.3 |
| Self-care disability among adults | 5.8% | 5.1–6.7 |
| Vision disability among adults | 7.1% | 6.2–8.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.1% | 17.8–24.8 |
| Food insecurity in the past 12 months among adults | 15.2% | 12.6–18.5 |
| Received food stamps in the past 12 months among adults | 12.9% | 10.6–15.8 |
| Housing insecurity in the past 12 months among adults | 10.1% | 8.5–12.1 |
| Lack of reliable transportation in the past 12 months among adults | 8.6% | 7.4–10.1 |
| Loneliness among adults | 28.1% | 23.5–33.5 |
| Utility services shut-off threat in the past 12 months among adults | 7.9% | 6.7–9.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.2% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 11.4% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 3.4% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 27.8% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 1.1% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 12.3% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 75.7% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 14.8% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 84.5% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 2.0% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 4.9% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 57.7% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 44.4% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 63.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $63,000 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $158,100 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $596 | $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 | 78.0 yr ± 1.00 | 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 1.00 years of 78.0, 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