ZIP code
59937
in Whitefish, MontanaPopulation 15,114
60.31/ 100
Ranked #4,626 of 32,066 US ZIPs (top 14.5%)
Ranked #9 of 341 Montana ZIPs (top 2.7%)
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.
Recreation access
1.7 per 1,000 residents
in the top 2.3% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Park land
45.8%
in the top 2.8% nationally
Higher is healthier
ST87thUS97thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Civic-institution access
1 per 1,000 residents
in the top 3.8% nationally
Higher is healthier
ST93rdUS96thDefinition & source ›
The number of civic and social organizations 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 ›Loneliness
27.3%
in the bottom 4.1% nationally
Lower is healthier
ST14thUS4thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Fine-particle (PM2.5) exceedance
2.0%
in the top 4.6% nationally
Lower is healthier
ST55thUS95thDefinition & 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 ›Binge drinking
20.3%
in the top 5.2% nationally
Lower is healthier
ST85thUS95thDefinition & 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 ›Humid extreme heat
9.2 days/year
in the bottom 6.3% nationally
Lower is healthier
ST59thUS6thDefinition & 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 ›Grocery access
0.21 per 1,000 residents
in the top 6.8% nationally
Higher is healthier
ST86thUS93rdDefinition & 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 ›Short sleep
29.1%
in the bottom 6.2% nationally
Lower is healthier
ST18thUS6thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Food insecurity
7.9%
in the bottom 7.0% nationally
Lower is healthier
ST3rdUS7thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
Whitefish, Montana (ZIP 59937), overall, ranks in the top 14.5% healthiest ZIPs nationally (4,626th) and the top 2.7% of Montana (9th).
Reading the numbers as a whole, the picture lands somewhere in between: recreation lands in the top 2.3% nationally, park land lies in the top 2.8% nationally, and civic stands in the top 3.8% nationally. Modeled loneliness rests in the bottom 4.1% nationally. Distance to an emergency room registers at the national minimum, shared with about 11% of ZIPs. Modeled humid heat resides in the bottom 6.3% nationally, and grocery settles in the top 6.8% nationally. Modeled short sleep is in the bottom 6.2% nationally. On the other side, modeled fine-particle sits in the top 4.6% nationally, and binge drinking lands in the top 5.2% nationally.
Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. No nearby ZIP ranks healthier overall than this one.
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
Chronic Disease Burden
healthier than 80%
21%
Social Need / SDOH
healthier than 89%
16%
Risk Behavior
healthier than 83%
11%
Mental Health
healthier than 74%
8%
Disability
healthier than 83%
7%
Climate / Disaster Risk
healthier than 94%
5%
Healthcare Access
healthier than 67%
5%
About typical
Preventive Care
healthier than 43%
13%
Holding it back
Environmental Hazard
healthier than 17%
14%
Lifting this score
Chronic Disease Burden
healthier than 89%
21%
Social Need / SDOH
healthier than 94%
16%
Preventive Care
healthier than 62%
13%
Risk Behavior
healthier than 84%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 95%
7%
Healthcare Access
healthier than 87%
5%
Holding it back
Environmental Hazard
healthier than 33%
14%
Climate / Disaster Risk
healthier than 39%
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 ›
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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 81.3 ± 2.0 years. A median household income of $75,428 predicts 79.0 years — 2.4 years above.
Ranked #731 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 17.3; chronic-disease standing 80.4 — 63 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,712 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
59901
Montanashares a border
Score 52.96
Similar health profile
80452
Colorado99% similar profile
Score 61.82
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 | 28.1% | 25.5–30.8 |
| High blood pressure among adults | 30.1% | 27.3–33.1 |
| Cancer (non-skin) or melanoma among adults | 10.3% | 9.4–11.2 |
| Current asthma among adults | 10.4% | 9.3–11.6 |
| Coronary heart disease among adults | 6.0% | 5.4–6.6 |
| Chronic obstructive pulmonary disease among adults | 6.0% | 5.3–6.7 |
| Depression among adults | 22.8% | 20.1–25.8 |
| Diagnosed diabetes among adults | 8.6% | 7.6–9.9 |
| High cholesterol among adults who have ever been screened | 33.1% | 30.0–36.4 |
| Obesity among adults | 29.7% | 25.7–34.1 |
| Stroke among adults | 3.1% | 2.9–3.3 |
| All teeth lost among adults aged >=65 years | 7.9% | 6.5–9.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.3% | 6.2–8.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.8% | 70.5–76.8 |
| Visits to doctor for routine checkup within the past year among adults | 72.1% | 68.8–75.0 |
| Cholesterol screening among adults | 85.6% | 84.0–87.1 |
| Colorectal cancer screening among adults aged 45–75 years | 68.9% | 65.0–72.6 |
| Visited dentist or dental clinic in the past year among adults | 70.8% | 68.0–73.6 |
| Mammography use among women aged 50-74 years | 75.2% | 68.9–80.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.3% | 17.7–23.2 |
| Current cigarette smoking among adults | 10.7% | 9.2–12.4 |
| No leisure-time physical activity among adults | 16.6% | 14.3–19.3 |
| Short sleep duration among adults | 29.1% | 25.3–33.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.3% | 13.6–17.2 |
| Frequent mental distress among adults | 14.3% | 12.8–16.0 |
| Frequent physical distress among adults | 12.3% | 11.0–13.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.5% | 10.2–12.9 |
| Any disability among adults | 27.0% | 24.2–30.2 |
| Hearing disability among adults | 7.8% | 7.0–8.7 |
| Independent living disability among adults | 6.2% | 5.6–7.0 |
| Mobility disability among adults | 10.7% | 9.4–12.1 |
| Self-care disability among adults | 2.9% | 2.6–3.2 |
| Vision disability among adults | 3.5% | 3.2–3.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.4% | 16.8–22.1 |
| Food insecurity in the past 12 months among adults | 7.9% | 6.7–9.4 |
| Received food stamps in the past 12 months among adults | 5.3% | 4.4–6.4 |
| Housing insecurity in the past 12 months among adults | 7.0% | 6.0–8.2 |
| Lack of reliable transportation in the past 12 months among adults | 5.5% | 4.8–6.3 |
| Loneliness among adults | 27.3% | 23.9–30.9 |
| Utility services shut-off threat in the past 12 months among adults | 4.9% | 4.2–5.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.8% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 8.0% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 2.9% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 51.6% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 2.4% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 5.9% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 90.7% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 35.9% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 73.4% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 1.3% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 3.5% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 57.8% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 26.2% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 47.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $75,428 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $698,200 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $1,392 | $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 | 81.3 yr ± 1.02 | 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 1.02 years of 81.3, 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