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ZipVitals

ZIP code

59089

in Wyola, MontanaPopulation 801

29.51/ 100

Ranked #30,859 of 32,066 US ZIPs (bottom 3.8%)

Ranked #328 of 341 Montana ZIPs (bottom 3.9%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Broad coverage across health domains

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.

Industrial-pollution burden

in the bottom 0.10% nationally

Lower is healthier

ST1st
US1st
Definition & 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 ›

Energy-cost burden

6.8%

in the top 1.3% nationally

Lower is healthier

ST91st
US99th
Definition & source ›

The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.

A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.

Full methodology ›

Tooth loss

30%

in the top 3.2% nationally

Lower is healthier

ST99th
US97th
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

Walkability

1 intersections/sq mi

in the bottom 2.7% nationally

Higher is healthier

ST39th
US3rd
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Air-toxics cancer risk

10 per million

in the bottom 2.8% nationally

Lower is healthier

ST1st
US3rd
Definition & 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 ›

Vision disability

9.7%

in the top 5.5% nationally

Lower is healthier

ST96th
US95th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Fine-particle (PM2.5) exceedance

2.5%

in the top 3.3% nationally

Lower is healthier

ST65th
US97th
Definition & 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 ›

Lack of transportation

17.9%

in the top 3.4% nationally

Lower is healthier

ST96th
US97th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

Slow internet speeds

3.4%

in the top 3.5% nationally

Lower is healthier

ST85th
US97th
Definition & source ›

The share of homes whose fastest available download speed is under 10 Mbps.

Full methodology ›

Mammography

66.6%

in the bottom 4.8% nationally

Higher is healthier

ST5th
US5th
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Cross-source signals

Health need and barriers to care documented here

On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.

These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.

Health need documented here

  • Food insecurity
  • Housing insecurity
  • Adults reporting fair or poor health

Barriers to reaching care

  • Distance to the nearest emergency room
  • Thin local supply of doctors
  • Thin local supply of pharmacies
  • Limited home internet for telehealth

A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.

See the full care-deserts analysis →

The read

Judged by its overall standing, Wyola, Montana (ZIP 59089) sits in the bottom 3.8% nationally (30,859th) and the bottom 3.9% of Montana (328th), based on limited data; treat as directional.

continue reading

A few readings carry most of this area's story: modeled energy burden registers in the top 1.3% nationally, modeled tooth loss is in the top 3.2% nationally, and walkability lies in the bottom 2.7% nationally. Modeled vision disability registers in the top 5.5% nationally, fine-particle is in the top 3.3% nationally, and transportation lies in the top 3.4% nationally. Slow internet speeds registers in the top 3.5% nationally, and modeled mammography is in the bottom 4.8% nationally. On the better side, modeled industrial-pollution burden lies in the bottom 0.10% nationally, and air-toxics cancer risk registers in the bottom 2.8% nationally.

Put plainly, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. A healthier nearby ZIP overall is ZIP 59025, just across the boundary. Across other measures, the ZIP also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.

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.

Compare within

Lifting this score

Climate / Disaster RiskPartial

healthier than 86%

5%

Holding it back

Chronic Disease Burden

healthier than 17%

21%

Social Need / SDOH

healthier than 1%

16%

Environmental Hazard

healthier than 20%

14%

Preventive Care

healthier than 5%

13%

Risk Behavior

healthier than 5%

11%

Mental Health

healthier than 13%

8%

Disability

healthier than 6%

7%

Healthcare Access

healthier than 6%

5%

Nothing measured is lifting this score.

Holding it back

Chronic Disease Burden

healthier than 8%

21%

Social Need / SDOH

healthier than 1%

16%

Environmental Hazard

healthier than 38%

14%

Preventive Care

healthier than 3%

13%

Risk Behavior

healthier than 2%

11%

Mental Health

healthier than 7%

8%

Disability

healthier than 4%

7%

Climate / Disaster RiskPartial

healthier than 19%

5%

Healthcare Access

healthier than 29%

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.

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
MeasureCrude prevalence95% CI
Arthritis among adults29.5%26.6–32.9
High blood pressure among adults38.0%34.4–42.2
Cancer (non-skin) or melanoma among adults7.3%6.5–8.1
Current asthma among adults14.3%12.7–16.1
Coronary heart disease among adults8.7%7.7–9.9
Chronic obstructive pulmonary disease among adults10.2%8.8–11.9
Depression among adults24.2%20.9–28.0
Diagnosed diabetes among adults17.1%15.1–19.5
High cholesterol among adults who have ever been screened31.8%28.2–35.7
Obesity among adults37.3%31.5–43.8
Stroke among adults5.4%4.8–6.1
All teeth lost among adults aged >=65 years30.0%25.5–34.4
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years12.8%10.3–15.9
Taking medicine to control high blood pressure among adults with high blood pressure73.4%70.1–76.6
Visits to doctor for routine checkup within the past year among adults71.3%67.2–75.1
Cholesterol screening among adults79.8%77.1–82.2
Colorectal cancer screening among adults aged 45–75 years55.3%50.3–59.8
Visited dentist or dental clinic in the past year among adults47.6%44.1–51.1
Mammography use among women aged 50-74 years66.6%58.5–74.0
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults17.4%14.4–20.7
Current cigarette smoking among adults26.5%22.8–30.5
No leisure-time physical activity among adults28.1%24.0–32.9
Short sleep duration among adults38.5%33.2–43.8
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults29.9%26.2–34.0
Frequent mental distress among adults21.4%19.1–24.0
Frequent physical distress among adults19.8%17.5–22.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults19.4%17.0–22.1
Any disability among adults39.5%35.0–44.3
Hearing disability among adults11.7%10.4–13.2
Independent living disability among adults12.9%11.3–14.7
Mobility disability among adults20.4%17.8–23.4
Self-care disability among adults6.3%5.5–7.3
Vision disability among adults9.7%8.6–11.0
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults28.2%24.2–32.3
Food insecurity in the past 12 months among adults29.1%24.8–33.7
Received food stamps in the past 12 months among adults22.2%18.4–26.0
Housing insecurity in the past 12 months among adults21.0%17.9–24.3
Lack of reliable transportation in the past 12 months among adults17.9%15.5–20.3
Loneliness among adults36.1%31.4–40.9
Utility services shut-off threat in the past 12 months among adults16.7%14.3–19.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MT median (p10–p90)
Poverty rate12.9%10.6% (3.1–25.8%) n=32,3649.7% (1.9–27.5%) n=360
Uninsured 18–6439.9%9.0% (1.5–24.3%) n=32,28611.1% (0.0–33.1%) n=357
No HS diploma (25+)11.1%7.9% (1.8–20.7%) n=32,5054.7% (0.0–14.1%) n=360
Bachelor's or higher (25+)12.6%23.3% (9.2–53.6%) n=32,50526.6% (12.3–46.1%) n=360
Unemployment rate (16+)10.2%3.9% (0.0–9.8%) n=32,2741.8% (0.0–10.2%) n=357
Households without a vehicle4.2%3.9% (0.0–12.5%) n=32,3221.7% (0.0–9.5%) n=360
Broadband subscription82.3%89.3% (75.1–97.1%) n=32,32287.3% (72.1–100.0%) n=360
Housing cost burden (≥30% income)10.4%23.7% (10.6–40.0%) n=32,32221.1% (7.3–37.2%) n=360
Homeownership rate74.5%78.7% (51.7–94.0%) n=32,32278.0% (56.9–95.8%) n=360
Crowded housing (>1 per room)10.4%1.3% (0.0–6.3%) n=32,3220.9% (0.0–6.6%) n=360
Foreign-born population0.5%2.6% (0.0–18.6%) n=32,5530.9% (0.0–4.9%) n=360
Single-parent households26.5%53.6% (37.3–74.1%) n=32,08761.3% (39.9–84.5%) n=356
Population 65+8.0%19.4% (10.8–33.6%) n=32,55324.0% (12.9–44.0%) n=360
Median age29.5 yr42.2 yr (33.0–56.3) n=32,29246.0 yr (32.9–62.3) n=358
Median household income$62,870$72,070 ($46,039–$118,707) n=30,318$66,875 ($44,980–$95,192) n=321
Median home value$222,200 ($100,300–$579,820) n=30,049$292,450 ($127,430–$548,550) n=312
Median gross rent$606$1,021 ($677–$1,912) n=25,670$877 ($544–$1,329) n=213
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)MT median (p10–p90)
Life expectancy at birth77.9 yr ± 1.1178.9 yr (74.7–82.8) n=31,30879.7 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 1.11 years of 77.9, and it’s very unlikely to be off by more than twice that.

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