ZIP code
59201
in Wolf Point, MontanaPopulation 5,073
33.07/ 100
Ranked #30,024 of 32,066 US ZIPs (bottom 6.4%)
Ranked #321 of 341 Montana ZIPs (bottom 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.
Distance to a community health center
54.7 mi
in the top 0.9% nationally
Lower is healthier
ST93rdUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Distance to a Superfund site
178.2 mi
in the top 1.3% nationally
Higher is healthier
ST91stUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Walkability
0.7 intersections/sq mi
in the bottom 1.6% nationally
Higher is healthier
ST19thUS2ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Nitrate in drinking water
5.3%
in the top 4.1% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams 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 ›Mental-health provider access
0.2 per 1,000 residents
in the top 4.3% nationally
Higher is healthier
ST91stUS96thDefinition & source ›
The number of mental-health clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Mammography
66.9%
in the bottom 5.3% nationally
Higher is healthier
ST6thUS5thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Lack of transportation
16%
in the top 5.1% nationally
Lower is healthier
ST95thUS95thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Air-toxics cancer risk
10.2 per million
in the bottom 5.2% nationally
Lower is healthier
ST57thUS5thDefinition & 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 ›Independent-living disability
12.8%
in the top 7.5% nationally
Lower is healthier
ST94thUS93rdDefinition & 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 ›Expected annual disaster loss
$0
in the top 6.8% nationally
Lower is healthier
ST94thUS93rdDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›The read
In overall standing, Wolf Point, Montana (ZIP 59201) comes out in the bottom 6.4% nationally (30,024th) and the bottom 5.9% of Montana (321st).
The data is direct about where this area carries real strain: distance to a community health center rests in the top 0.9% nationally, walkability lies in the bottom 1.6% nationally, and modeled nitrate sits in the top 4.1% nationally. Modeled mammography settles in the bottom 5.3% nationally, transportation registers in the top 5.1% nationally, and independent living disability stands in the top 7.5% nationally. More encouragingly, distance to a Superfund site lands in the top 1.3% nationally, and mental-health providers is in the top 4.3% nationally. Modeled air-toxics cancer risk resides in the bottom 5.2% nationally. Distance to an emergency room rests at the national minimum, shared with about 11% of ZIPs.
Relative to the ZIPs around it, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plain terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. The nearest healthier ZIP overall is ZIP 59215, 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.
Lifting this score
Environmental Hazard
healthier than 87%
14%
Climate / Disaster Risk
healthier than 81%
5%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Social Need / SDOH
healthier than 6%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 8%
7%
Healthcare Access
healthier than 2%
5%
Lifting this score
Environmental Hazard
healthier than 92%
14%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 4%
16%
Preventive Care
healthier than 3%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 4%
7%
Climate / Disaster Risk
healthier than 12%
5%
Healthcare Access
healthier than 12%
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 ›
Findings that name this ZIP
3 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 71.1 ± 2.1 years. A median household income of $53,311 predicts 77.6 years — 6.5 years below.
Ranked #5,777 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 71.1 ± 2.1 years. The 50 nearest ZIP codes with estimates average 79.0 years — 7.9 years below them.
Ranked #3,660 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 87.0; chronic-disease standing 23.3 — 64 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,467 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
59215
Montanashares a border
Score 52.79
Closest healthier
59223
Montanashares a border
Score 50.05
Similar health profile
59527
Montana98% similar profile
Score 26.20
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 | 30.7% | 27.6–33.7 |
| High blood pressure among adults | 37.7% | 33.9–41.4 |
| Cancer (non-skin) or melanoma among adults | 7.9% | 7.2–8.7 |
| Current asthma among adults | 14.0% | 12.5–15.5 |
| Coronary heart disease among adults | 8.2% | 7.5–9.1 |
| Chronic obstructive pulmonary disease among adults | 10.0% | 9.0–11.2 |
| Depression among adults | 26.1% | 22.7–29.6 |
| Diagnosed diabetes among adults | 14.6% | 12.8–16.4 |
| High cholesterol among adults who have ever been screened | 33.6% | 30.0–37.4 |
| Obesity among adults | 40.1% | 33.4–47.0 |
| Stroke among adults | 4.9% | 4.5–5.3 |
| All teeth lost among adults aged >=65 years | 20.3% | 17.0–23.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.6% | 10.5–14.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.2% | 70.3–75.7 |
| Visits to doctor for routine checkup within the past year among adults | 70.2% | 66.3–73.7 |
| Cholesterol screening among adults | 78.1% | 75.8–80.2 |
| Colorectal cancer screening among adults aged 45–75 years | 57.0% | 52.2–61.7 |
| Visited dentist or dental clinic in the past year among adults | 49.7% | 46.1–53.3 |
| Mammography use among women aged 50-74 years | 66.9% | 59.1–74.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.5% | 14.8–20.4 |
| Current cigarette smoking among adults | 22.5% | 19.8–25.3 |
| No leisure-time physical activity among adults | 29.7% | 25.4–34.1 |
| Short sleep duration among adults | 41.4% | 35.9–47.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.1% | 25.1–31.3 |
| Frequent mental distress among adults | 21.6% | 19.4–23.9 |
| Frequent physical distress among adults | 19.1% | 17.2–21.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.4% | 18.3–22.5 |
| Any disability among adults | 42.1% | 37.7–46.7 |
| Hearing disability among adults | 11.2% | 10.1–12.4 |
| Independent living disability among adults | 12.8% | 11.5–14.1 |
| Mobility disability among adults | 19.2% | 17.0–21.4 |
| Self-care disability among adults | 5.8% | 5.3–6.4 |
| Vision disability among adults | 8.6% | 7.8–9.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.9% | 23.4–30.7 |
| Food insecurity in the past 12 months among adults | 25.8% | 22.5–29.4 |
| Received food stamps in the past 12 months among adults | 20.0% | 17.2–23.2 |
| Housing insecurity in the past 12 months among adults | 18.5% | 16.1–21.1 |
| Lack of reliable transportation in the past 12 months among adults | 16.0% | 14.2–17.9 |
| Loneliness among adults | 34.8% | 30.2–39.6 |
| Utility services shut-off threat in the past 12 months among adults | 14.2% | 12.5–16.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 27.8% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 29.4% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 7.7% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 15.7% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 11.4% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 10.2% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 74.8% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 20.9% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 64.4% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 2.5% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 1.5% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 42.4% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 16.5% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 33.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $53,311 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $127,100 | $222,200 ($100,300–$579,820) n=30,049 | $292,450 ($127,430–$548,550) n=312 |
| Median gross rent | $732 | $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 | 71.1 yr ± 1.05 | 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 1.05 years of 71.1, 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