ZIP code
59718
in Bozeman, MontanaPopulation 44,585
62.32/ 100
Ranked #3,330 of 32,066 US ZIPs (top 10.4%)
Ranked #4 of 341 Montana ZIPs (top 1.2%)
Ranked #3 of 10 Bozeman, MT ZIPs (top 30%)
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.
Natural-disaster risk
at the national maximum
Lower is healthier
ST99thUS99thDefinition & 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 ›Binge drinking
24.4%
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 ›High cholesterol
26.2%
in the bottom 1.5% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›High blood pressure
22.3%
in the bottom 1.8% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Expected annual disaster loss
$1
in the top 1.5% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Obesity
22.8%
in the bottom 2.8% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Diabetes
6.1%
in the bottom 1.6% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Mobility disability
7.4%
in the bottom 2.3% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Coronary heart disease
3.9%
in the bottom 3.0% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Industrial-pollution burden
in the bottom 4.9% nationally
Lower is healthier
ST27thUS5thDefinition & 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 ›The read
By the composite measure, ZIP 59718, one of several in Bozeman, Montana sits in the top 10.4% healthiest ZIPs nationally (3,330th) and the top 1.2% of Montana (4th).
The profile cuts both ways, and the readings bear that out: modeled high cholesterol resides in the bottom 1.5% nationally, high blood pressure lies in the bottom 1.8% nationally, and obesity settles in the bottom 2.8% nationally. Modeled diabetes stands in the bottom 1.6% nationally, mobility disability is in the bottom 2.3% nationally, and coronary heart disease rests in the bottom 3.0% nationally. Modeled industrial-pollution burden sits in the bottom 4.9% nationally. Working the other way, modeled disaster risk registers at the national maximum, and binge drinking lands in the top 0.7% nationally. Modeled expected annual loss resides in the top 1.5% nationally.
Compared with the ZIPs that surround it, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plain language, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. ZIP 59730, 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. Compare it against the US, this state and the Bozeman, 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 97%
21%
Social Need / SDOH
healthier than 89%
16%
Risk Behavior
healthier than 78%
11%
Disability
healthier than 92%
7%
Climate / Disaster Risk
healthier than 96%
5%
Healthcare Access
healthier than 82%
5%
About typical
Environmental Hazard
healthier than 50%
14%
Mental Health
healthier than 45%
8%
Holding it back
Preventive Care
healthier than 11%
13%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Social Need / SDOH
healthier than 94%
16%
Environmental Hazard
healthier than 63%
14%
Risk Behavior
healthier than 70%
11%
Disability
healthier than 99%
7%
Healthcare Access
healthier than 90%
5%
About typical
Climate / Disaster Risk
healthier than 47%
5%
Holding it back
Preventive Care
healthier than 9%
13%
Mental Health
healthier than 37%
8%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Social Need / SDOH
healthier than 88%
16%
Disability
healthier than 75%
7%
Healthcare Access
healthier than 88%
5%
Holding it back
Environmental Hazard
healthier than 38%
14%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 38%
11%
Mental Health
healthier than 25%
8%
Climate / Disaster Risk
healthier than 13%
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
59714
Montanashares a border
Score 59.47
Closest healthier
59730
Montanashares a border
Score 63.94
Similar health profile
80235
Colorado99% similar profile
Score 58.90
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 | 20.3% | 18.2–22.4 |
| High blood pressure among adults | 22.3% | 19.9–24.7 |
| Cancer (non-skin) or melanoma among adults | 6.7% | 6.1–7.4 |
| Current asthma among adults | 10.9% | 9.7–12.2 |
| Coronary heart disease among adults | 3.9% | 3.5–4.3 |
| Chronic obstructive pulmonary disease among adults | 4.3% | 3.8–4.8 |
| Depression among adults | 23.3% | 20.5–26.3 |
| Diagnosed diabetes among adults | 6.1% | 5.3–7.0 |
| High cholesterol among adults who have ever been screened | 26.2% | 23.5–28.9 |
| Obesity among adults | 22.8% | 19.3–26.6 |
| Stroke among adults | 2.1% | 1.9–2.3 |
| All teeth lost among adults aged >=65 years | 8.2% | 6.7–10.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 7.1–9.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 65.0% | 61.6–68.1 |
| Visits to doctor for routine checkup within the past year among adults | 67.1% | 63.5–70.5 |
| Cholesterol screening among adults | 79.1% | 76.7–81.1 |
| Colorectal cancer screening among adults aged 45–75 years | 65.2% | 61.3–69.3 |
| Visited dentist or dental clinic in the past year among adults | 67.7% | 64.8–70.7 |
| Mammography use among women aged 50-74 years | 74.6% | 68.2–80.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 24.4% | 21.3–27.6 |
| Current cigarette smoking among adults | 9.7% | 8.4–11.2 |
| No leisure-time physical activity among adults | 13.5% | 11.5–16.0 |
| Short sleep duration among adults | 28.4% | 24.7–32.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.7% | 11.2–14.4 |
| Frequent mental distress among adults | 17.2% | 15.4–19.2 |
| Frequent physical distress among adults | 10.5% | 9.4–11.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.3% | 11.8–14.9 |
| Any disability among adults | 23.6% | 20.9–26.7 |
| Hearing disability among adults | 5.6% | 5.0–6.2 |
| Independent living disability among adults | 6.3% | 5.6–7.1 |
| Mobility disability among adults | 7.4% | 6.4–8.4 |
| Self-care disability among adults | 2.3% | 2.1–2.5 |
| Vision disability among adults | 3.2% | 2.9–3.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.1% | 16.6–21.8 |
| Food insecurity in the past 12 months among adults | 8.8% | 7.5–10.2 |
| Received food stamps in the past 12 months among adults | 5.8% | 4.9–6.8 |
| Housing insecurity in the past 12 months among adults | 7.5% | 6.5–8.8 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 5.9–7.6 |
| Loneliness among adults | 31.6% | 28.0–35.3 |
| Utility services shut-off threat in the past 12 months among adults | 5.4% | 4.7–6.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.4% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 7.2% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 2.2% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 58.8% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 1.6% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 2.2% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 94.1% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 33.7% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 55.5% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 1.9% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 4.0% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 50.3% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 13.0% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 32.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $99,123 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $646,400 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $1,999 | $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 | 80.2 yr ± 0.60 | 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 0.60 years of 80.2, 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