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ZipVitals

ZIP code

59752

in Three Forks, MontanaPopulation 5,404

53.57/ 100

Ranked #11,277 of 32,066 US ZIPs (top 35%)

Ranked #74 of 341 Montana ZIPs (top 22%)

Ranked #10 of 10 Bozeman, MT ZIPs (bottom 10.0%)

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.

Binge drinking

21.4%

in the top 2.5% nationally

Lower is healthier

ST92nd
US98th
Definition & 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 ›

Distance to a nursing home

19.6 mi

in the top 3.5% nationally

Lower is healthier

ST74th
US97th
Definition & source ›

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

Full methodology ›

Fine-particle (PM2.5) exceedance

2.2%

in the top 3.7% nationally

Lower is healthier

ST61st
US96th
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 ›

Arsenic in groundwater

22.3%

in the top 5.4% nationally

Lower is healthier

ST98th
US95th
Definition & source ›

The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.

A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.

Full methodology ›

Industrial-pollution burden

in the bottom 6.1% nationally

Lower is healthier

ST34th
US6th
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 ›

Air-toxics cancer risk

15.8 per million

in the bottom 6.2% nationally

Lower is healthier

ST65th
US6th
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 ›

High cholesterol

31.6%

in the bottom 5.7% nationally

Lower is healthier

ST9th
US6th
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

Walkability

2.1 intersections/sq mi

in the bottom 8.2% nationally

Higher is healthier

ST69th
US8th
Definition & source ›

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

Full methodology ›

Obesity

27.5%

in the bottom 10.2% nationally

Lower is healthier

ST4th
US10th
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Distance to an emergency room

15.8 mi

in the top 10.0% nationally

Lower is healthier

ST71st
US90th
Definition & source ›

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

Full methodology ›

The read

On balance, and by the composite measure, Three Forks, Montana (ZIP 59752) ranks in the top 35% healthiest ZIPs nationally (11,277th) and the top 22% of Montana (74th), based on limited data; treat as directional.

continue reading

The measures split the difference for this area: modeled industrial-pollution burden lies in the bottom 6.1% nationally, and air-toxics cancer risk resides in the bottom 6.2% nationally. Unemployment lands at the national minimum, shared with about 15% of ZIPs. Modeled high cholesterol registers in the bottom 5.7% nationally, and obesity sits in the bottom 10.2% nationally. Against that, modeled binge drinking rests in the top 2.5% nationally, distance to a nursing home is in the top 3.5% nationally, and modeled fine-particle stands in the top 3.7% nationally. Modeled arsenic settles in the top 5.4% nationally, and walkability lies in the bottom 8.2% nationally.

Compared with the ZIPs it borders, park land runs far lower 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. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier nearby ZIP overall, look to ZIP 59714, 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 Bozeman, MT metro area.

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

Compare within

Lifting this score

Chronic Disease Burden

healthier than 80%

21%

Risk Behavior

healthier than 64%

11%

Disability

healthier than 73%

7%

Climate / Disaster RiskPartial

healthier than 99%

5%

About typical

Social Need / SDOH

healthier than 55%

16%

Mental Health

healthier than 44%

8%

Holding it back

Environmental Hazard

healthier than 22%

14%

Preventive Care

healthier than 17%

13%

Healthcare Access

healthier than 7%

5%

Lifting this score

Chronic Disease Burden

healthier than 89%

21%

Disability

healthier than 83%

7%

Climate / Disaster RiskPartial

healthier than 78%

5%

About typical

Social Need / SDOH

healthier than 52%

16%

Risk Behavior

healthier than 40%

11%

Holding it back

Environmental Hazard

healthier than 40%

14%

Preventive Care

healthier than 14%

13%

Mental Health

healthier than 35%

8%

Healthcare Access

healthier than 34%

5%

Lifting this score

Climate / Disaster RiskPartial

healthier than 69%

5%

Holding it back

Chronic Disease Burden

healthier than 21%

21%

Social Need / SDOH

healthier than 16%

16%

Environmental Hazard

healthier than 3%

14%

Preventive Care

healthier than 36%

13%

Risk Behavior

in the bottom 0.00%

11%

Mental Health

healthier than 15%

8%

Disability

healthier than 17%

7%

Healthcare Access

healthier than 21%

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 adults27.5%25.2–30.0
High blood pressure among adults30.1%27.5–32.9
Cancer (non-skin) or melanoma among adults8.7%8.0–9.4
Current asthma among adults11.4%10.3–12.6
Coronary heart disease among adults5.8%5.2–6.4
Chronic obstructive pulmonary disease among adults6.5%5.7–7.3
Depression among adults23.3%20.9–26.1
Diagnosed diabetes among adults9.0%8.0–10.1
High cholesterol among adults who have ever been screened31.6%28.9–34.5
Obesity among adults27.5%23.9–31.6
Stroke among adults3.1%2.9–3.4
All teeth lost among adults aged >=65 years10.5%8.7–12.5
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years8.9%7.5–10.3
Taking medicine to control high blood pressure among adults with high blood pressure71.2%68.3–74.0
Visits to doctor for routine checkup within the past year among adults70.5%67.6–73.3
Cholesterol screening among adults83.3%81.6–84.9
Colorectal cancer screening among adults aged 45–75 years63.1%59.5–66.7
Visited dentist or dental clinic in the past year among adults64.9%62.1–67.6
Mammography use among women aged 50-74 years72.8%67.3–77.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults21.4%19.0–24.0
Current cigarette smoking among adults13.6%11.7–15.6
No leisure-time physical activity among adults18.0%15.5–20.7
Short sleep duration among adults30.5%27.1–34.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults16.4%14.5–18.5
Frequent mental distress among adults17.3%15.7–19.1
Frequent physical distress among adults13.5%12.1–15.0
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults13.9%12.4–15.5
Any disability among adults28.0%25.2–31.0
Hearing disability among adults7.5%6.8–8.3
Independent living disability among adults7.4%6.6–8.2
Mobility disability among adults11.1%9.8–12.5
Self-care disability among adults3.3%3.0–3.6
Vision disability among adults4.0%3.6–4.4
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults20.7%18.4–23.4
Food insecurity in the past 12 months among adults10.2%8.8–11.9
Received food stamps in the past 12 months among adults7.1%6.0–8.5
Housing insecurity in the past 12 months among adults8.7%7.5–10.0
Lack of reliable transportation in the past 12 months among adults6.9%6.1–7.8
Loneliness among adults30.3%27.4–33.6
Utility services shut-off threat in the past 12 months among adults6.3%5.5–7.2
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MT median (p10–p90)
Poverty rate9.7%10.6% (3.1–25.8%) n=32,3649.7% (1.9–27.5%) n=360
Uninsured 18–6411.7%9.0% (1.5–24.3%) n=32,28611.1% (0.0–33.1%) n=357
No HS diploma (25+)2.6%7.9% (1.8–20.7%) n=32,5054.7% (0.0–14.1%) n=360
Bachelor's or higher (25+)23.1%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 vehicle1.8%3.9% (0.0–12.5%) n=32,3221.7% (0.0–9.5%) n=360
Broadband subscription89.5%89.3% (75.1–97.1%) n=32,32287.3% (72.1–100.0%) n=360
Housing cost burden (≥30% income)24.3%23.7% (10.6–40.0%) n=32,32221.1% (7.3–37.2%) n=360
Homeownership rate83.5%78.7% (51.7–94.0%) n=32,32278.0% (56.9–95.8%) n=360
Crowded housing (>1 per room)1.0%1.3% (0.0–6.3%) n=32,3220.9% (0.0–6.6%) n=360
Foreign-born population1.0%2.6% (0.0–18.6%) n=32,5530.9% (0.0–4.9%) n=360
Single-parent households56.4%53.6% (37.3–74.1%) n=32,08761.3% (39.9–84.5%) n=356
Population 65+16.3%19.4% (10.8–33.6%) n=32,55324.0% (12.9–44.0%) n=360
Median age44.9 yr42.2 yr (33.0–56.3) n=32,29246.0 yr (32.9–62.3) n=358
Median household income$86,767$72,070 ($46,039–$118,707) n=30,318$66,875 ($44,980–$95,192) n=321
Median home value$461,100$222,200 ($100,300–$579,820) n=30,049$292,450 ($127,430–$548,550) n=312
Median gross rent$1,272$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 birth79.5 yr ± 1.3578.9 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 1.35 years of 79.5, 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