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ZIP code

59062

in Otter, MontanaPopulation 51

ZipVitals Score
How is the ZipVitals Score calculated? →

47.60/ 100

Ranked #19,435 of 32,066 US ZIPs (bottom 39%)

Ranked #207 of 341 Montana ZIPs (bottom 39%)

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 0.2% nationally

Lower is healthier

ST3rd
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 ›

Crowded housing

31.8%

in the top 0.5% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The share of occupied homes with more than one person per room, the Census definition of crowded housing.

Full methodology ›

Energy-cost burden

6.6%

in the top 1.6% nationally

Lower is healthier

ST89th
US98th
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 ›

Distance to an emergency room

34.8 mi

in the top 1.4% nationally

Lower is healthier

ST97th
US99th
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.

Full methodology ›

Distance to a nursing home

29.8 mi

in the top 1.6% nationally

Lower is healthier

ST89th
US98th
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.

Full methodology ›

Housing-cost burden

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & source ›

The share of households spending 30% or more of their income on housing.

Full methodology ›

Home broadband subscription

54.5%

in the bottom 2.1% nationally

Higher is healthier

ST2nd
US2nd
Definition & source ›

The share of households with a broadband internet subscription.

Full methodology ›

Transportation noise

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & source ›

The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.

Full methodology ›

Slow internet speeds

4.2%

in the top 2.9% nationally

Lower is healthier

ST90th
US97th
Definition & source ›

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

Full methodology ›

Fine-particle (PM2.5) exceedance

2.6%

in the top 3.0% nationally

Lower is healthier

ST68th
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 ›

The read

By its overall health score, Otter, Montana (ZIP 59062) lands in the bottom 39% nationally (19,435th) and the bottom 39% of Montana (207th), based on limited data; treat as directional.

continue reading

The readings that matter most locally set the tone for the profile: crowded housing stands in the top 0.5% nationally, and modeled energy burden settles in the top 1.6% nationally. Distance to an emergency room lies in the top 1.4% nationally, and distance to a nursing home resides in the top 1.6% nationally. Home broadband subscription lands in the bottom 2.1% nationally, slow internet speeds registers in the top 2.9% nationally, and modeled fine-particle sits in the top 3.0% nationally. On the encouraging side, modeled industrial-pollution burden rests in the bottom 0.2% nationally, housing-cost burden is at the national minimum, and modeled transportation noise stands at the national minimum.

Weighed against the ZIPs nearby, crowded housing runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Energy burden is the share of household income that goes to home energy bills. Overall, the nearest healthier neighbor is ZIP 59317, 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.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Risk Behavior

healthier than 71%

11%

Climate / Disaster RiskPartial

healthier than 83%

5%

About typical

Chronic Disease Burden

healthier than 50%

21%

Environmental Hazard

healthier than 49%

14%

Mental Health

healthier than 53%

8%

Disability

healthier than 47%

7%

Holding it back

Social Need / SDOH

healthier than 4%

16%

Preventive Care

healthier than 33%

13%

Healthcare Access

healthier than 2%

5%

Lifting this score

Environmental Hazard

healthier than 63%

14%

About typical

Chronic Disease Burden

healthier than 57%

21%

Preventive Care

healthier than 41%

13%

Risk Behavior

healthier than 53%

11%

Mental Health

healthier than 50%

8%

Disability

healthier than 45%

7%

Holding it back

Social Need / SDOH

healthier than 2%

16%

Climate / Disaster RiskPartial

healthier than 13%

5%

Healthcare Access

healthier than 11%

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 adults31.0%28.1–34.0
High blood pressure among adults37.1%33.9–40.4
Cancer (non-skin) or melanoma among adults10.2%9.3–11.2
Current asthma among adults11.0%9.8–12.2
Coronary heart disease among adults8.3%7.2–9.4
Chronic obstructive pulmonary disease among adults8.0%6.5–9.6
Depression among adults22.6%19.8–25.3
Diagnosed diabetes among adults11.9%10.3–13.6
High cholesterol among adults who have ever been screened35.9%32.7–39.0
Obesity among adults32.0%27.0–37.5
Stroke among adults4.0%3.5–4.6
All teeth lost among adults aged >=65 years13.1%11.0–15.2
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years9.0%6.4–12.1
Taking medicine to control high blood pressure among adults with high blood pressure77.4%74.7–79.7
Visits to doctor for routine checkup within the past year among adults72.9%69.6–76.0
Cholesterol screening among adults83.3%80.8–85.6
Colorectal cancer screening among adults aged 45–75 years65.4%61.2–69.3
Visited dentist or dental clinic in the past year among adults62.4%59.5–65.2
Mammography use among women aged 50-74 years77.0%71.0–81.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults18.5%16.1–21.0
Current cigarette smoking among adults13.8%10.6–16.9
No leisure-time physical activity among adults21.8%17.8–26.0
Short sleep duration among adults30.4%25.9–35.0
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults19.3%15.9–22.8
Frequent mental distress among adults16.8%14.8–18.9
Frequent physical distress among adults14.7%12.7–16.8
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults14.5%12.3–16.8
Any disability among adults33.0%28.4–37.6
Hearing disability among adults10.2%8.9–11.4
Independent living disability among adults8.1%6.7–9.5
Mobility disability among adults14.2%11.9–16.7
Self-care disability among adults3.9%3.2–4.6
Vision disability among adults4.9%4.1–5.7
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults22.0%18.8–25.4
Food insecurity in the past 12 months among adults11.3%8.6–14.4
Received food stamps in the past 12 months among adults7.5%5.5–9.8
Housing insecurity in the past 12 months among adults8.4%6.6–10.2
Lack of reliable transportation in the past 12 months among adults7.3%6.0–8.7
Loneliness among adults30.9%27.0–34.8
Utility services shut-off threat in the past 12 months among adults5.8%4.7–7.0
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MT median (p10–p90)
Poverty rate27.5%10.6% (3.1–25.8%) n=32,3649.7% (1.9–27.5%) n=360
Uninsured 18–640.0%9.0% (1.5–24.3%) n=32,28611.1% (0.0–33.1%) n=357
No HS diploma (25+)0.0%7.9% (1.8–20.7%) n=32,5054.7% (0.0–14.1%) n=360
Bachelor's or higher (25+)29.8%23.3% (9.2–53.6%) n=32,50526.6% (12.3–46.1%) n=360
Unemployment rate (16+)0.0%3.9% (0.0–9.8%) n=32,2741.8% (0.0–10.2%) n=357
Households without a vehicle0.0%3.9% (0.0–12.5%) n=32,3221.7% (0.0–9.5%) n=360
Broadband subscription54.5%89.3% (75.1–97.1%) n=32,32287.3% (72.1–100.0%) n=360
Housing cost burden (≥30% income)0.0%23.7% (10.6–40.0%) n=32,32221.1% (7.3–37.2%) n=360
Homeownership rate86.4%78.7% (51.7–94.0%) n=32,32278.0% (56.9–95.8%) n=360
Crowded housing (>1 per room)31.8%1.3% (0.0–6.3%) n=32,3220.9% (0.0–6.6%) n=360
Foreign-born population0.0%2.6% (0.0–18.6%) n=32,5530.9% (0.0–4.9%) n=360
Single-parent households95.5%53.6% (37.3–74.1%) n=32,08761.3% (39.9–84.5%) n=356
Population 65+45.1%19.4% (10.8–33.6%) n=32,55324.0% (12.9–44.0%) n=360
Median age63.2 yr42.2 yr (33.0–56.3) n=32,29246.0 yr (32.9–62.3) n=358
Median household income$28,750$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—$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 birth78.3 yr ± 1.0478.9 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 1.04 years of 78.3, 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