ZIP code
59465
in Neihart, MontanaPopulation 39
51.37/ 100
Ranked #14,331 of 32,066 US ZIPs (top 45%)
Ranked #135 of 341 Montana ZIPs (top 40%)
Ranked #6 of 17 Great Falls, MT ZIPs (top 35%)
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.
Tree cover
92.9%
in the top 0.6% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Distance to a nursing home
39.2 mi
in the top 1.0% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Slow internet speeds
9.5%
in the top 1.5% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Distance to a Superfund site
In this ZIP
at the national minimum
Higher is healthier
ST1stUS1stDefinition & 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 ›Hearing disability
12.7%
in the top 2.6% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Fine-particle (PM2.5) exceedance
3.0%
in the top 2.3% nationally
Lower is healthier
ST72ndUS98thDefinition & 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 ›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 ›Humid extreme heat
4.4 days/year
in the bottom 2.6% nationally
Lower is healthier
ST22ndUS3rdDefinition & 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 ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
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 ›The read
Overall, Neihart, Montana (ZIP 59465) lands in the top 45% healthiest ZIPs nationally (14,331st) and the top 40% of Montana (135th).
What defines this place in the numbers is worth naming first: distance to a nursing home settles in the top 1.0% nationally, and slow internet speeds resides in the top 1.5% nationally. Distance to a Superfund site registers at the national minimum, and modeled hearing disability rests in the top 2.6% nationally. Modeled fine-particle stands in the top 2.3% nationally. More encouragingly, modeled tree cover lies in the top 0.6% nationally, homeownership lands at the national maximum, and modeled humid heat sits in the bottom 2.6% nationally. Home broadband subscription is at the national maximum, and modeled air-toxics cancer risk settles in the bottom 2.8% nationally.
Set beside the nearby areas, slow internet speeds runs far higher than the surrounding ZIPs on this measure. A note on the terms: distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. For a healthier nearby comparison, ZIP 59463, just across the boundary, ranks better 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. Compare it against the US, this state and the Great Falls, MT metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 63%
8%
Climate / Disaster Risk
in the top 0.7%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Disability
healthier than 40%
7%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Environmental Hazard
healthier than 27%
14%
Healthcare Access
in the bottom 0.5%
5%
Lifting this score
Preventive Care
in the top 0.6%
13%
Risk Behavior
healthier than 91%
11%
Mental Health
healthier than 63%
8%
Climate / Disaster Risk
healthier than 88%
5%
About typical
Social Need / SDOH
healthier than 55%
16%
Environmental Hazard
healthier than 46%
14%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Disability
healthier than 35%
7%
Healthcare Access
healthier than 5%
5%
Lifting this score
Environmental Hazard
healthier than 70%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.00%
8%
Disability
healthier than 60%
7%
Climate / Disaster Risk
healthier than 90%
5%
About typical
Social Need / SDOH
healthier than 40%
16%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
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
59463
Montanashares a border
Score 52.30
Closest healthier
59412
Montanaabout 4.1 mi away
Score 51.61
Similar health profile
95375
California98% similar profile
Score 51.57
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 | 39.0% | 35.6–42.4 |
| High blood pressure among adults | 41.6% | 38.1–45.2 |
| Cancer (non-skin) or melanoma among adults | 14.0% | 12.6–15.5 |
| Current asthma among adults | 11.7% | 10.3–13.2 |
| Coronary heart disease among adults | 9.5% | 7.8–11.4 |
| Chronic obstructive pulmonary disease among adults | 8.5% | 6.4–10.9 |
| Depression among adults | 23.5% | 20.6–26.6 |
| Diagnosed diabetes among adults | 12.7% | 10.6–14.9 |
| High cholesterol among adults who have ever been screened | 40.8% | 37.3–44.2 |
| Obesity among adults | 31.4% | 27.2–36.0 |
| Stroke among adults | 4.7% | 3.8–5.8 |
| All teeth lost among adults aged >=65 years | 10.8% | 8.8–12.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.7% | 5.1–10.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.0% | 80.5–85.2 |
| Visits to doctor for routine checkup within the past year among adults | 80.6% | 77.9–83.1 |
| Cholesterol screening among adults | 87.2% | 84.7–89.3 |
| Colorectal cancer screening among adults aged 45–75 years | 74.9% | 71.3–78.4 |
| Visited dentist or dental clinic in the past year among adults | 68.3% | 65.4–71.0 |
| Mammography use among women aged 50-74 years | 81.2% | 76.3–85.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.1% | 13.1–17.4 |
| Current cigarette smoking among adults | 10.3% | 7.6–13.2 |
| No leisure-time physical activity among adults | 23.5% | 18.9–28.8 |
| Short sleep duration among adults | 30.7% | 27.2–34.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.8% | 15.8–24.6 |
| Frequent mental distress among adults | 15.1% | 13.0–17.4 |
| Frequent physical distress among adults | 15.2% | 12.7–18.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.8% | 10.5–15.4 |
| Any disability among adults | 37.2% | 31.9–42.6 |
| Hearing disability among adults | 12.7% | 10.8–14.7 |
| Independent living disability among adults | 8.0% | 6.4–9.8 |
| Mobility disability among adults | 16.9% | 13.5–20.9 |
| Self-care disability among adults | 3.5% | 2.8–4.5 |
| Vision disability among adults | 4.8% | 3.9–6.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.5% | 17.0–24.2 |
| Food insecurity in the past 12 months among adults | 9.1% | 6.5–12.0 |
| Received food stamps in the past 12 months among adults | 5.6% | 3.8–7.7 |
| Housing insecurity in the past 12 months among adults | 6.1% | 4.5–7.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.7% | 4.4–7.1 |
| Loneliness among adults | 31.8% | 27.9–36.0 |
| Utility services shut-off threat in the past 12 months among adults | 4.2% | 3.3–5.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 30.8% | 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+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 33.3% | 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 | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 30.0% | 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 | 62.5% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 35.9% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 57.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $83,000 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $227,300 | $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 | 78.7 yr ± 0.65 | 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 0.65 years of 78.7, 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