ZIP code
59451
in Hilger, MontanaPopulation 123
54.73/ 100
Ranked #9,798 of 32,066 US ZIPs (top 31%)
Ranked #48 of 341 Montana ZIPs (top 14.1%)
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.
Walkability
0.27 intersections/sq mi
in the bottom 0.7% nationally
Higher is healthier
ST2ndUS1stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Humid extreme heat
2.7 days/year
in the bottom 1.6% nationally
Lower is healthier
ST7thUS2ndDefinition & 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 ›Loneliness
26.6%
in the bottom 2.1% nationally
Lower is healthier
ST6thUS2ndDefinition & source ›
The estimated share of adults who report feeling lonely.
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 ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Fine-particle (PM2.5) exceedance
2.5%
in the top 3.3% nationally
Lower is healthier
ST65thUS97thDefinition & 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 ›Crowded housing
10.5%
in the top 4.2% nationally
Lower is healthier
ST95thUS96thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Housing-cost burden
3.5%
in the bottom 4.4% nationally
Lower is healthier
ST7thUS4thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›PFAS in drinking water
8.5%
in the bottom 5.8% nationally
Lower is healthier
ST7thUS6thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Distance to a nursing home
13.7 mi
in the top 6.3% nationally
Lower is healthier
ST55thUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›The read
Hilger, Montana (ZIP 59451), by its overall standing, sits in the top 31% healthiest ZIPs nationally (9,798th) and the top 14.1% of Montana (48th).
The measures fall on both sides of the ledger for this area: modeled humid heat settles in the bottom 1.6% nationally, loneliness registers in the bottom 2.1% nationally, and air-toxics cancer risk stands in the bottom 2.8% nationally. Floodplain exposure lands at the national minimum, housing-cost burden is in the bottom 4.4% nationally, and modeled pfas resides in the bottom 5.8% nationally. Set against that, walkability rests in the bottom 0.7% nationally, and modeled fine-particle lies in the top 3.3% nationally. Crowded housing sits in the top 4.2% nationally, and distance to a nursing home settles in the top 6.3% nationally.
Defined in plain terms, 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. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Locally, no neighbor ranks healthier overall than this ZIP.
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
Preventive Care
healthier than 75%
13%
Risk Behavior
healthier than 79%
11%
Mental Health
healthier than 79%
8%
Disability
healthier than 61%
7%
Climate / Disaster Risk
in the top 0.3%
5%
About typical
Chronic Disease Burden
healthier than 43%
21%
Environmental Hazard
healthier than 43%
14%
Holding it back
Social Need / SDOH
healthier than 38%
16%
Healthcare Access
healthier than 9%
5%
Lifting this score
Environmental Hazard
healthier than 60%
14%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 74%
11%
Mental Health
healthier than 89%
8%
Disability
healthier than 68%
7%
Climate / Disaster Risk
healthier than 96%
5%
About typical
Chronic Disease Burden
healthier than 47%
21%
Healthcare Access
healthier than 41%
5%
Holding it back
Social Need / SDOH
healthier than 34%
16%
“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
59430
Montanashares a border
Score 53.63
Similar health profile
16882
Pennsylvania96% similar profile
Score 51.12
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 | 33.7% | 30.0–37.8 |
| High blood pressure among adults | 39.7% | 35.3–44.4 |
| Cancer (non-skin) or melanoma among adults | 12.0% | 10.6–13.2 |
| Current asthma among adults | 10.9% | 9.6–12.4 |
| Coronary heart disease among adults | 7.8% | 6.6–9.0 |
| Chronic obstructive pulmonary disease among adults | 8.4% | 6.7–10.5 |
| Depression among adults | 21.8% | 18.6–25.4 |
| Diagnosed diabetes among adults | 11.9% | 9.9–14.0 |
| High cholesterol among adults who have ever been screened | 37.8% | 33.4–42.3 |
| Obesity among adults | 31.1% | 24.9–37.9 |
| Stroke among adults | 4.0% | 3.5–4.7 |
| All teeth lost among adults aged >=65 years | 10.8% | 8.7–13.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.9% | 4.8–9.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.2% | 74.3–81.6 |
| Visits to doctor for routine checkup within the past year among adults | 76.5% | 72.5–80.1 |
| Cholesterol screening among adults | 88.6% | 86.4–90.5 |
| Colorectal cancer screening among adults aged 45–75 years | 73.5% | 68.6–78.1 |
| Visited dentist or dental clinic in the past year among adults | 66.6% | 62.8–70.0 |
| Mammography use among women aged 50-74 years | 76.3% | 68.4–82.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.6% | 14.5–20.8 |
| Current cigarette smoking among adults | 13.8% | 10.5–17.4 |
| No leisure-time physical activity among adults | 21.2% | 16.9–26.3 |
| Short sleep duration among adults | 29.3% | 23.7–35.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.8% | 14.6–21.6 |
| Frequent mental distress among adults | 14.2% | 12.2–16.4 |
| Frequent physical distress among adults | 14.9% | 12.6–17.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.9% | 9.8–14.1 |
| Any disability among adults | 29.7% | 25.2–35.1 |
| Hearing disability among adults | 9.2% | 7.9–10.6 |
| Independent living disability among adults | 7.3% | 6.0–8.8 |
| Mobility disability among adults | 14.5% | 11.7–17.7 |
| Self-care disability among adults | 3.9% | 3.2–4.7 |
| Vision disability among adults | 4.3% | 3.5–5.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.4% | 15.8–23.3 |
| Food insecurity in the past 12 months among adults | 9.2% | 6.6–12.2 |
| Received food stamps in the past 12 months among adults | 6.7% | 4.7–9.1 |
| Housing insecurity in the past 12 months among adults | 7.1% | 5.4–9.0 |
| Lack of reliable transportation in the past 12 months among adults | 5.6% | 4.4–6.9 |
| Loneliness among adults | 26.6% | 22.0–31.3 |
| Utility services shut-off threat in the past 12 months among adults | 5.3% | 4.2–6.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 27.6% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 17.6% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 2.1% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 38.5% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 1.8% (0.0–10.2%) n=357 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 94.7% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 3.5% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 94.7% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 10.5% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 62.2% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 38.2% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 50.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $85,625 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $214,300 | $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
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 84.0 yr ± 1.81 | 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 1.81 years of 84.0, 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