ZIP code
59537
in Loring, MontanaPopulation 159
46.30/ 100
Ranked #20,997 of 32,066 US ZIPs (bottom 35%)
Ranked #242 of 341 Montana ZIPs (bottom 29%)
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
0.21 intersections/sq mi
in the bottom 0.6% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Distance to a nursing home
52.3 mi
in the top 0.6% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Housing-cost burden
65.9%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Distance to a Superfund site
161.5 mi
in the top 1.6% nationally
Higher is healthier
ST89thUS98thDefinition & 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 ›Transportation noise
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
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 ›Distance to a community health center
33.6 mi
in the top 3.3% nationally
Lower is healthier
ST83rdUS97thDefinition & 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 ›Humid extreme heat
7.3 days/year
in the bottom 4.6% nationally
Lower is healthier
ST45thUS5thDefinition & 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 ›PFAS in drinking water
8.9%
in the bottom 6.6% nationally
Lower is healthier
ST9thUS7thDefinition & 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 ›The read
Loring, Montana (ZIP 59537), overall, ranks in the bottom 35% nationally (20,997th) and the bottom 29% of Montana (242nd), based on limited data; treat as directional.
Several serious readings shape the profile and deserve first mention: walkability lies in the bottom 0.6% nationally, distance to a nursing home stands in the top 0.6% nationally, and housing-cost burden rests in the top 0.9% nationally. Distance to a community health center registers in the top 3.3% nationally. On the better side, distance to a Superfund site resides in the top 1.6% nationally, and modeled transportation noise settles at the national minimum. Homeownership is at the national maximum, and modeled air-toxics cancer risk sits in the bottom 2.8% nationally. Modeled humid heat lands in the bottom 4.6% nationally, and pfas lies in the bottom 6.6% nationally.
Defined simply, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. 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. ZIP 59538, just across the boundary, comes out healthier overall.
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 97%
14%
Climate / Disaster RiskPartial
healthier than 90%
5%
About typical
Risk Behavior
healthier than 55%
11%
Disability
healthier than 43%
7%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Social Need / SDOH
healthier than 30%
16%
Preventive Care
healthier than 32%
13%
Mental Health
healthier than 30%
8%
Healthcare Access
in the bottom 0.07%
5%
Lifting this score
Environmental Hazard
healthier than 98%
14%
About typical
Preventive Care
healthier than 41%
13%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
healthier than 27%
16%
Risk Behavior
healthier than 28%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 39%
7%
Climate / Disaster RiskPartial
healthier than 29%
5%
Healthcare Access
in the bottom 0.00%
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.
Nearby
59524
Montanashares a border
Score 36.12
Closest healthier
59538
Montanashares a border
Score 46.67
Similar health profile
59530
Montana97% similar profile
Score 44.27
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 | 33.4% | 29.6–37.2 |
| High blood pressure among adults | 35.5% | 31.2–39.8 |
| Cancer (non-skin) or melanoma among adults | 11.0% | 9.9–12.3 |
| Current asthma among adults | 11.9% | 10.4–13.5 |
| Coronary heart disease among adults | 7.5% | 6.5–8.7 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 7.4–10.9 |
| Depression among adults | 25.6% | 21.8–29.8 |
| Diagnosed diabetes among adults | 11.8% | 9.9–13.8 |
| High cholesterol among adults who have ever been screened | 37.0% | 32.6–41.5 |
| Obesity among adults | 38.4% | 30.9–46.3 |
| Stroke among adults | 4.2% | 3.6–4.8 |
| All teeth lost among adults aged >=65 years | 18.3% | 14.9–22.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 6.2–11.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.9% | 75.6–81.9 |
| Visits to doctor for routine checkup within the past year among adults | 74.9% | 71.0–78.7 |
| Cholesterol screening among adults | 84.9% | 82.6–87.0 |
| Colorectal cancer screening among adults aged 45–75 years | 67.3% | 62.2–72.0 |
| Visited dentist or dental clinic in the past year among adults | 60.4% | 56.5–64.1 |
| Mammography use among women aged 50-74 years | 70.4% | 61.6–78.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.5% | 14.5–20.9 |
| Current cigarette smoking among adults | 14.5% | 11.4–17.8 |
| No leisure-time physical activity among adults | 24.7% | 19.8–30.0 |
| Short sleep duration among adults | 34.0% | 28.1–40.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.7% | 16.4–23.5 |
| Frequent mental distress among adults | 17.4% | 15.0–19.9 |
| Frequent physical distress among adults | 15.6% | 13.3–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.7% | 12.4–17.2 |
| Any disability among adults | 32.1% | 27.1–37.4 |
| Hearing disability among adults | 9.1% | 7.9–10.4 |
| Independent living disability among adults | 8.9% | 7.5–10.5 |
| Mobility disability among adults | 15.7% | 13.0–18.6 |
| Self-care disability among adults | 4.2% | 3.5–4.9 |
| Vision disability among adults | 5.1% | 4.3–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.5% | 16.8–24.3 |
| Food insecurity in the past 12 months among adults | 11.7% | 8.8–14.7 |
| Received food stamps in the past 12 months among adults | 8.9% | 6.6–11.4 |
| Housing insecurity in the past 12 months among adults | 8.7% | 6.8–10.7 |
| Lack of reliable transportation in the past 12 months among adults | 7.2% | 5.9–8.5 |
| Loneliness among adults | 29.7% | 24.8–34.8 |
| Utility services shut-off threat in the past 12 months among adults | 6.2% | 4.9–7.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.7% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 11.1% (0.0–33.1%) n=357 |
| No HS diploma (25+) | 8.1% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 37.2% | 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 | 97.6% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 65.9% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 100.0% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 0.0% | 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 | 35.0% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 13.8% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 25.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | — | $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
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 78.6 yr ± 1.02 | 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 1.02 years of 78.6, 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