ZIP code
59648
in Wolf Creek, MontanaPopulation 486
56.55/ 100
Ranked #7,708 of 32,066 US ZIPs (top 24%)
Ranked #25 of 341 Montana ZIPs (top 7.4%)
Ranked #5 of 17 Helena, MT ZIPs (top 29%)
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.
Fine-particle (PM2.5) exceedance
3.2%
in the top 2.2% nationally
Lower is healthier
ST76thUS98thDefinition & 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 ›Walkability
0.89 intersections/sq mi
in the bottom 2.2% nationally
Higher is healthier
ST31stUS2ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Housing insecurity
6.0%
in the bottom 2.6% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Slow internet speeds
3.7%
in the top 3.2% nationally
Lower is healthier
ST87thUS97thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Short sleep
27.5%
in the bottom 2.2% nationally
Lower is healthier
ST6thUS2ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Humid extreme heat
5.6 days/year
in the bottom 3.5% nationally
Lower is healthier
ST32ndUS3rdDefinition & 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 ›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 ›Air-toxics cancer risk
10 per million
in the bottom 5.1% nationally
Lower is healthier
ST56thUS5thDefinition & 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 ›Distance to a nursing home
14.1 mi
in the top 6.0% nationally
Lower is healthier
ST58thUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Utility shut-off threat
4.4%
in the bottom 6.6% nationally
Lower is healthier
ST2ndUS7thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›The read
Overall, Wolf Creek, Montana (ZIP 59648) places in the top 24% healthiest ZIPs nationally (7,708th) and the top 7.4% of Montana (25th).
The measures land in both directions, and neither dominates: modeled housing insecurity sits in the bottom 2.6% nationally, and short sleep lies in the bottom 2.2% nationally. Modeled humid heat rests in the bottom 3.5% nationally, and loneliness resides in the bottom 4.1% nationally. Modeled air-toxics cancer risk is in the bottom 5.1% nationally, and utility shutoff lands in the bottom 6.6% nationally. Pulling the other way, modeled fine-particle stands in the top 2.2% nationally, walkability registers in the bottom 2.2% nationally, and slow internet speeds settles in the top 3.2% nationally. Distance to a nursing home sits in the top 6.0% nationally.
Beside the areas that surround it, slow internet speeds runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. 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. Among nearby ZIPs, the nearest healthier one overall is ZIP 59633, just across the boundary.
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 Helena, MT metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 66%
16%
Preventive Care
healthier than 86%
13%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 69%
8%
Disability
healthier than 62%
7%
Climate / Disaster Risk
in the top 0.7%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Holding it back
Environmental Hazard
healthier than 29%
14%
Healthcare Access
healthier than 9%
5%
Lifting this score
Social Need / SDOH
healthier than 69%
16%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 76%
8%
Disability
healthier than 70%
7%
Climate / Disaster Risk
healthier than 87%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Environmental Hazard
healthier than 48%
14%
Healthcare Access
healthier than 44%
5%
Nothing measured is holding this score back.
Lifting this score
Environmental Hazard
healthier than 67%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
healthier than 89%
8%
About typical
Social Need / SDOH
healthier than 56%
16%
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Disability
healthier than 33%
7%
Healthcare Access
healthier than 33%
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
59410
Montanashares a border
Score 47.82
Closest healthier
59633
Montanashares a border
Score 60.30
Similar health profile
99174
Washington96% similar profile
Score 56.45
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 | 37.3% | 33.9–40.8 |
| High blood pressure among adults | 37.2% | 33.6–40.8 |
| Cancer (non-skin) or melanoma among adults | 12.6% | 11.3–13.9 |
| Current asthma among adults | 10.7% | 9.5–12.1 |
| Coronary heart disease among adults | 8.2% | 7.3–9.4 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 6.3–9.0 |
| Depression among adults | 23.3% | 20.3–26.5 |
| Diagnosed diabetes among adults | 11.7% | 10.0–13.5 |
| High cholesterol among adults who have ever been screened | 39.1% | 35.4–42.8 |
| Obesity among adults | 30.6% | 26.0–35.4 |
| Stroke among adults | 4.0% | 3.6–4.5 |
| All teeth lost among adults aged >=65 years | 7.8% | 6.3–9.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.1% | 5.7–8.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.7% | 76.6–82.6 |
| Visits to doctor for routine checkup within the past year among adults | 78.6% | 75.8–81.4 |
| Cholesterol screening among adults | 88.4% | 86.8–89.9 |
| Colorectal cancer screening among adults aged 45–75 years | 71.9% | 67.8–75.5 |
| Visited dentist or dental clinic in the past year among adults | 68.9% | 65.8–71.8 |
| Mammography use among women aged 50-74 years | 80.4% | 74.6–85.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.6% | 14.2–19.2 |
| Current cigarette smoking among adults | 11.6% | 9.4–14.1 |
| No leisure-time physical activity among adults | 19.2% | 15.8–23.0 |
| Short sleep duration among adults | 27.5% | 23.6–31.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.3% | 14.7–20.3 |
| Frequent mental distress among adults | 14.5% | 12.7–16.4 |
| Frequent physical distress among adults | 14.5% | 12.6–16.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.7% | 10.1–13.5 |
| Any disability among adults | 31.9% | 27.9–36.2 |
| Hearing disability among adults | 10.4% | 9.3–11.9 |
| Independent living disability among adults | 6.8% | 5.8–8.0 |
| Mobility disability among adults | 14.8% | 12.5–17.4 |
| Self-care disability among adults | 3.4% | 2.9–4.0 |
| Vision disability among adults | 4.1% | 3.5–4.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.1% | 16.4–22.3 |
| Food insecurity in the past 12 months among adults | 8.0% | 6.4–9.9 |
| Received food stamps in the past 12 months among adults | 5.3% | 4.1–6.7 |
| Housing insecurity in the past 12 months among adults | 6.0% | 4.9–7.3 |
| Lack of reliable transportation in the past 12 months among adults | 5.3% | 4.5–6.2 |
| Loneliness among adults | 27.3% | 23.8–31.0 |
| Utility services shut-off threat in the past 12 months among adults | 4.4% | 3.7–5.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.7% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 10.4% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 11.2% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 21.6% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 0.0% | 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 | 79.1% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 27.7% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 89.3% | 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 | 0.2% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 54.1% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 25.3% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 50.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $65,750 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $263,600 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | — | $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 ± 1.51 | 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 1.51 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