ZIP code
59754
in Twin Bridges, MontanaPopulation 980
53.66/ 100
Ranked #11,142 of 32,066 US ZIPs (top 35%)
Ranked #70 of 341 Montana ZIPs (top 21%)
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.
Child-care access
1.1 per 1,000 residents
in the top 1.7% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of child day-care services 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 ›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
4.8 days/year
in the bottom 2.9% nationally
Lower is healthier
ST24thUS3rdDefinition & 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 ›Short sleep
28.6%
in the bottom 4.6% nationally
Lower is healthier
ST13thUS5thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Fine-particle (PM2.5) exceedance
1.6%
in the top 6.0% nationally
Lower is healthier
ST45thUS94thDefinition & 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 ›Fiber broadband
97.8%
in the top 7.1% nationally
Higher is healthier
ST95thUS93rdDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Walkability
2.1 intersections/sq mi
in the bottom 7.8% nationally
Higher is healthier
ST68thUS8thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Poverty rate
2.4%
in the bottom 8.0% nationally
Lower is healthier
ST12thUS8thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Industrial-pollution burden
in the bottom 8.4% nationally
Lower is healthier
ST38thUS8thDefinition & 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 ›Park land
13.8%
in the top 9.4% nationally
Higher is healthier
ST77thUS91stDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›The read
By the composite measure, Twin Bridges, Montana (ZIP 59754) sits in the top 35% healthiest ZIPs nationally (11,142nd) and the top 21% of Montana (70th).
The profile cuts both ways, and the readings bear that out: childcare stands in the top 1.7% nationally, modeled air-toxics cancer risk is in the bottom 2.8% nationally, and modeled humid heat rests in the bottom 2.9% nationally. Modeled short sleep sits in the bottom 4.6% nationally, and fiber broadband registers in the top 7.1% nationally. Households without a vehicle lands at the national minimum, shared with about 16% of ZIPs. Poverty resides in the bottom 8.0% nationally, and modeled industrial-pollution burden lies in the bottom 8.4% nationally. Working the other way, modeled fine-particle settles in the top 6.0% nationally, and walkability stands in the bottom 7.8% nationally.
Compared with the ZIPs that surround it, park land runs far lower than the surrounding ZIPs on this measure. In plain language, 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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. ZIP 59710, 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
Risk Behavior
healthier than 77%
11%
Mental Health
healthier than 63%
8%
Climate / Disaster Risk
healthier than 96%
5%
About typical
Chronic Disease Burden
healthier than 56%
21%
Social Need / SDOH
healthier than 47%
16%
Environmental Hazard
healthier than 51%
14%
Disability
healthier than 54%
7%
Holding it back
Preventive Care
healthier than 38%
13%
Healthcare Access
healthier than 20%
5%
Lifting this score
Chronic Disease Burden
healthier than 62%
21%
Environmental Hazard
healthier than 65%
14%
Risk Behavior
healthier than 69%
11%
Mental Health
healthier than 65%
8%
About typical
Social Need / SDOH
healthier than 42%
16%
Preventive Care
healthier than 51%
13%
Disability
healthier than 56%
7%
Climate / Disaster Risk
healthier than 54%
5%
Healthcare Access
healthier than 59%
5%
Nothing measured is holding this score back.
“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
59701
Montanashares a border
Score 49.01
Closest healthier
59710
Montanashares a border
Score 56.52
Similar health profile
59464
Montana96% similar profile
Score 54.07
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 | 32.7% | 29.1–36.3 |
| High blood pressure among adults | 36.0% | 31.9–40.2 |
| Cancer (non-skin) or melanoma among adults | 11.2% | 10.1–12.3 |
| Current asthma among adults | 10.8% | 9.5–12.2 |
| Coronary heart disease among adults | 7.9% | 7.0–9.0 |
| Chronic obstructive pulmonary disease among adults | 7.7% | 6.5–9.0 |
| Depression among adults | 22.3% | 18.9–25.9 |
| Diagnosed diabetes among adults | 10.8% | 9.2–12.6 |
| High cholesterol among adults who have ever been screened | 36.0% | 31.7–40.4 |
| Obesity among adults | 29.5% | 23.1–36.8 |
| Stroke among adults | 4.0% | 3.6–4.5 |
| All teeth lost among adults aged >=65 years | 9.4% | 7.6–11.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.5% | 6.8–10.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.3% | 73.9–80.3 |
| Visits to doctor for routine checkup within the past year among adults | 73.6% | 69.6–77.3 |
| Cholesterol screening among adults | 85.5% | 83.5–87.4 |
| Colorectal cancer screening among adults aged 45–75 years | 66.7% | 61.4–71.4 |
| Visited dentist or dental clinic in the past year among adults | 65.0% | 61.2–68.4 |
| Mammography use among women aged 50-74 years | 73.7% | 65.2–80.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.1% | 15.9–22.6 |
| Current cigarette smoking among adults | 13.4% | 11.1–16.0 |
| No leisure-time physical activity among adults | 20.2% | 16.5–24.4 |
| Short sleep duration among adults | 28.6% | 22.9–34.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.4% | 15.6–21.5 |
| Frequent mental distress among adults | 15.9% | 14.0–18.1 |
| Frequent physical distress among adults | 14.4% | 12.5–16.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.3% | 11.5–15.3 |
| Any disability among adults | 31.2% | 26.9–35.9 |
| Hearing disability among adults | 10.0% | 8.8–11.3 |
| Independent living disability among adults | 7.8% | 6.7–9.0 |
| Mobility disability among adults | 14.1% | 11.9–16.5 |
| Self-care disability among adults | 3.7% | 3.2–4.3 |
| Vision disability among adults | 4.6% | 4.0–5.2 |
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 | 9.8% | 7.9–12.0 |
| Received food stamps in the past 12 months among adults | 6.9% | 5.6–8.7 |
| Housing insecurity in the past 12 months among adults | 8.0% | 6.6–9.6 |
| Lack of reliable transportation in the past 12 months among adults | 6.3% | 5.4–7.4 |
| Loneliness among adults | 28.7% | 24.0–33.9 |
| Utility services shut-off threat in the past 12 months among adults | 5.7% | 4.8–6.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.4% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 18.2% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 4.2% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 27.0% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 1.8% | 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 | 94.5% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 23.7% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 72.0% | 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 | 1.8% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 70.2% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 34.5% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 52.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $76,923 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $429,100 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $1,050 | $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 | 87.2 yr ± 2.90 | 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 2.90 years of 87.2, 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