ZIP code
59727
in Divide, MontanaPopulation 293
57.52/ 100
Ranked #6,784 of 32,066 US ZIPs (top 21%)
Ranked #20 of 341 Montana ZIPs (top 5.9%)
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
4.9%
in the top 1.2% nationally
Lower is healthier
ST89thUS99thDefinition & 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 ›Park land
54.9%
in the top 2.0% nationally
Higher is healthier
ST90thUS98thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Humid extreme heat
3.7 days/year
in the bottom 2.2% nationally
Lower is healthier
ST14thUS2ndDefinition & 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 ›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 ›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 ›Slow internet speeds
2.5%
in the top 4.7% nationally
Lower is healthier
ST77thUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Fiber broadband
96.3%
in the top 9.0% nationally
Higher is healthier
ST91stUS91stDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Colon-cancer screening
71.2%
in the top 14.2% nationally
Higher is healthier
ST92ndUS86thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Independent-living disability
6.8%
in the bottom 18% nationally
Lower is healthier
ST5thUS18thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Cognitive disability
12.2%
in the bottom 20% nationally
Lower is healthier
ST10thUS20thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›The read
By its overall health score, Divide, Montana (ZIP 59727) lands in the top 21% healthiest ZIPs nationally (6,784th) and the top 5.9% of Montana (20th).
Neither strongly one way nor the other, the measures sit mixed: park land rests in the top 2.0% nationally, and modeled humid heat is in the bottom 2.2% nationally. Modeled air-toxics cancer risk stands in the bottom 2.8% nationally, and loneliness settles in the bottom 4.1% nationally. Fiber broadband lies in the top 9.0% nationally. Modeled extreme heat resides at the national minimum, shared with about 19% of ZIPs. Modeled housing insecurity lands in the bottom 10.4% nationally, and short sleep registers in the bottom 11.0% nationally. Against that, modeled fine-particle sits in the top 1.2% nationally, and slow internet speeds rests in the top 4.7% nationally.
Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. To translate a couple of 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. Overall, the nearest healthier neighbor is ZIP 59748, about 5.3 miles away.
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
Social Need / SDOH
healthier than 91%
16%
Preventive Care
healthier than 63%
13%
Risk Behavior
healthier than 82%
11%
Mental Health
healthier than 73%
8%
Disability
healthier than 68%
7%
Climate / Disaster Risk
healthier than 99%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Holding it back
Environmental Hazard
healthier than 27%
14%
Healthcare Access
healthier than 13%
5%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Social Need / SDOH
healthier than 98%
16%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 82%
11%
Mental Health
healthier than 82%
8%
Disability
healthier than 78%
7%
Climate / Disaster Risk
healthier than 75%
5%
About typical
Environmental Hazard
healthier than 47%
14%
Healthcare Access
healthier than 53%
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
59748
Montanaabout 5.3 mi away
Score 57.97
Similar health profile
81434
Colorado96% similar profile
Score 59.86
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 | 31.7% | 28.4–34.9 |
| High blood pressure among adults | 36.5% | 32.6–40.1 |
| Cancer (non-skin) or melanoma among adults | 11.0% | 10.0–12.1 |
| Current asthma among adults | 10.4% | 9.2–11.6 |
| Coronary heart disease among adults | 7.5% | 6.5–8.5 |
| Chronic obstructive pulmonary disease among adults | 7.4% | 6.0–8.7 |
| Depression among adults | 22.0% | 19.1–25.0 |
| Diagnosed diabetes among adults | 11.5% | 9.8–13.1 |
| High cholesterol among adults who have ever been screened | 36.7% | 33.2–40.4 |
| Obesity among adults | 30.9% | 25.9–36.2 |
| Stroke among adults | 3.7% | 3.3–4.2 |
| All teeth lost among adults aged >=65 years | 10.5% | 8.8–12.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.9% | 7.1–11.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.5% | 75.4–81.2 |
| Visits to doctor for routine checkup within the past year among adults | 75.7% | 72.5–78.6 |
| Cholesterol screening among adults | 87.4% | 85.6–89.0 |
| Colorectal cancer screening among adults aged 45–75 years | 71.2% | 67.6–74.7 |
| Visited dentist or dental clinic in the past year among adults | 68.9% | 66.1–71.6 |
| Mammography use among women aged 50-74 years | 74.9% | 69.3–80.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.9% | 15.4–20.6 |
| Current cigarette smoking among adults | 11.8% | 9.4–14.3 |
| No leisure-time physical activity among adults | 20.0% | 16.5–23.7 |
| Short sleep duration among adults | 30.3% | 26.4–34.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.9% | 15.2–20.9 |
| Frequent mental distress among adults | 14.9% | 13.1–16.8 |
| Frequent physical distress among adults | 14.3% | 12.4–16.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.2% | 10.4–14.0 |
| Any disability among adults | 30.0% | 25.9–34.0 |
| Hearing disability among adults | 8.9% | 7.9–10.1 |
| Independent living disability among adults | 6.8% | 5.8–7.8 |
| Mobility disability among adults | 13.6% | 11.4–15.9 |
| Self-care disability among adults | 3.5% | 3.0–4.0 |
| Vision disability among adults | 4.2% | 3.7–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.8% | 16.9–23.1 |
| Food insecurity in the past 12 months among adults | 9.5% | 7.6–11.9 |
| Received food stamps in the past 12 months among adults | 5.8% | 4.5–7.5 |
| Housing insecurity in the past 12 months among adults | 7.4% | 6.1–9.0 |
| Lack of reliable transportation in the past 12 months among adults | 5.9% | 5.0–6.9 |
| Loneliness among adults | 27.3% | 23.8–31.3 |
| Utility services shut-off threat in the past 12 months among adults | 5.1% | 4.2–6.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.2% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 9.0% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 2.0% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 48.0% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 2.0% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 7.7% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 89.4% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 14.4% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 88.5% | 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 | 1.7% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 84.5% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 27.6% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 49.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $64,583 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $357,900 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $1,125 | $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 | 79.2 yr ± 0.81 | 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 0.81 years of 79.2, 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