ZIP code
59647
in Winston, MontanaPopulation 358
53.41/ 100
Ranked #11,482 of 32,066 US ZIPs (top 36%)
Ranked #78 of 341 Montana ZIPs (top 23%)
Ranked #9 of 17 Helena, MT ZIPs (bottom 47%)
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
3.0%
in the top 2.3% nationally
Lower is healthier
ST74thUS98thDefinition & 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 ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Walkability
1.3 intersections/sq mi
in the bottom 3.8% nationally
Higher is healthier
ST50thUS4thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Humid extreme heat
7.1 days/year
in the bottom 4.5% nationally
Lower is healthier
ST41stUS4thDefinition & 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 ›Slow internet speeds
2.5%
in the top 4.6% nationally
Lower is healthier
ST78thUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Air-toxics cancer risk
10.7 per million
in the bottom 5.5% nationally
Lower is healthier
ST60thUS5thDefinition & 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 ›Park land
19.5%
in the top 7.1% nationally
Higher is healthier
ST79thUS93rdDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Short sleep
29.5%
in the bottom 7.5% nationally
Lower is healthier
ST21stUS7thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Binge drinking
19.6%
in the top 7.9% nationally
Lower is healthier
ST77thUS92ndDefinition & 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 ›Housing-cost burden
9.8%
in the bottom 9.2% nationally
Lower is healthier
ST15thUS9thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›The read
On balance, and by the composite measure, Winston, Montana (ZIP 59647) ranks in the top 36% healthiest ZIPs nationally (11,482nd) and the top 23% of Montana (78th).
Strengths and concerns sit side by side across the measures here: home broadband subscription rests at the national maximum, and modeled humid heat is in the bottom 4.5% nationally. Modeled air-toxics cancer risk stands in the bottom 5.5% nationally, and park land settles in the top 7.1% nationally. Unemployment lies at the national minimum, shared with about 15% of ZIPs. Households without a vehicle resides at the national minimum, shared with about 16% of ZIPs. Modeled short sleep lands in the bottom 7.5% nationally. On the other hand, modeled fine-particle registers in the top 2.3% nationally, walkability sits in the bottom 3.8% nationally, and slow internet speeds rests in the top 4.6% nationally.
Compared with the ZIPs it borders, park land runs far higher than the surrounding ZIPs on this measure. In plainer 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. For a healthier nearby ZIP overall, look to ZIP 59602, 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
Chronic Disease Burden
healthier than 61%
21%
Risk Behavior
healthier than 76%
11%
Mental Health
healthier than 73%
8%
Disability
healthier than 66%
7%
Climate / Disaster Risk
healthier than 68%
5%
About typical
Social Need / SDOH
healthier than 46%
16%
Holding it back
Environmental Hazard
healthier than 18%
14%
Preventive Care
healthier than 38%
13%
Healthcare Access
healthier than 13%
5%
Lifting this score
Chronic Disease Burden
healthier than 72%
21%
Risk Behavior
healthier than 66%
11%
Mental Health
healthier than 81%
8%
Disability
healthier than 76%
7%
About typical
Social Need / SDOH
healthier than 40%
16%
Preventive Care
healthier than 52%
13%
Healthcare Access
healthier than 52%
5%
Holding it back
Environmental Hazard
healthier than 34%
14%
Climate / Disaster Risk
healthier than 5%
5%
Lifting this score
Mental Health
in the top 0.00%
8%
Healthcare Access
healthier than 67%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Social Need / SDOH
healthier than 44%
16%
Risk Behavior
healthier than 44%
11%
Disability
healthier than 44%
7%
Holding it back
Environmental Hazard
healthier than 33%
14%
Preventive Care
healthier than 11%
13%
Climate / Disaster Risk
in the bottom 0.00%
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
59602
Montanashares a border
Score 54.14
Closest healthier
59634
Montanashares a border
Score 60.95
Similar health profile
83014
Wyoming94% similar profile
Score 66.10
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 | 30.3% | 26.8–34.0 |
| High blood pressure among adults | 35.8% | 31.6–40.1 |
| Cancer (non-skin) or melanoma among adults | 10.8% | 9.8–12.0 |
| Current asthma among adults | 10.5% | 9.3–11.9 |
| Coronary heart disease among adults | 7.5% | 6.4–8.6 |
| Chronic obstructive pulmonary disease among adults | 7.2% | 5.9–8.6 |
| Depression among adults | 21.7% | 18.5–25.5 |
| Diagnosed diabetes among adults | 10.3% | 8.7–12.2 |
| High cholesterol among adults who have ever been screened | 35.8% | 31.4–40.4 |
| Obesity among adults | 29.2% | 22.5–36.8 |
| Stroke among adults | 3.7% | 3.2–4.2 |
| All teeth lost among adults aged >=65 years | 13.2% | 10.7–15.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 6.4–10.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.6% | 73.3–79.8 |
| Visits to doctor for routine checkup within the past year among adults | 73.2% | 69.2–77.0 |
| Cholesterol screening among adults | 85.2% | 83.1–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 68.4% | 63.4–73.2 |
| Visited dentist or dental clinic in the past year among adults | 64.1% | 60.4–67.8 |
| Mammography use among women aged 50-74 years | 74.1% | 66.2–81.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.6% | 16.4–23.3 |
| Current cigarette smoking among adults | 12.4% | 10.0–15.2 |
| No leisure-time physical activity among adults | 19.9% | 15.8–24.3 |
| Short sleep duration among adults | 29.5% | 23.9–35.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.0% | 14.1–20.2 |
| Frequent mental distress among adults | 15.2% | 13.2–17.4 |
| Frequent physical distress among adults | 13.6% | 11.7–15.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.7% | 10.8–14.9 |
| Any disability among adults | 29.9% | 25.3–35.0 |
| Hearing disability among adults | 9.5% | 8.2–10.8 |
| Independent living disability among adults | 7.0% | 6.0–8.2 |
| Mobility disability among adults | 12.9% | 10.7–15.2 |
| Self-care disability among adults | 3.4% | 2.9–3.9 |
| Vision disability among adults | 4.1% | 3.5–4.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.5% | 17.1–24.5 |
| Food insecurity in the past 12 months among adults | 8.9% | 7.0–11.1 |
| Received food stamps in the past 12 months among adults | 5.8% | 4.4–7.4 |
| Housing insecurity in the past 12 months among adults | 7.3% | 5.9–8.8 |
| Lack of reliable transportation in the past 12 months among adults | 5.9% | 5.0–7.0 |
| Loneliness among adults | 28.6% | 24.0–33.9 |
| Utility services shut-off threat in the past 12 months among adults | 5.0% | 4.1–5.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.9% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 58.9% | 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 | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 9.8% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 84.6% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 22.6% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 27.9% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 41.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $337,300 | $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 | 79.7 yr ± 1.52 | 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 1.52 years of 79.7, 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