ZIP code
59010
in Bighorn, MontanaPopulation 220
49.21/ 100
Ranked #17,378 of 32,066 US ZIPs (bottom 46%)
Ranked #177 of 341 Montana ZIPs (bottom 48%)
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.
Unemployment rate
22.2%
in the top 1.7% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Walkability
0.75 intersections/sq mi
in the bottom 1.7% nationally
Higher is healthier
ST22ndUS2ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Slow internet speeds
6.3%
in the top 2.0% nationally
Lower is healthier
ST95thUS98thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Fine-particle (PM2.5) exceedance
1.9%
in the top 5.0% nationally
Lower is healthier
ST49thUS95thDefinition & 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 ›Housing-cost burden
5.6%
in the bottom 5.5% nationally
Lower is healthier
ST8thUS5thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Homeownership rate
97.8%
in the top 5.9% nationally
Higher is healthier
ST92ndUS94thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Distance to a nursing home
12.3 mi
in the top 7.6% nationally
Lower is healthier
ST52ndUS92ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Dry extreme heat
23.7 days/year
in the top 20% nationally
Lower is healthier
ST99thUS80thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Humid extreme heat
25 days/year
in the bottom 22% nationally
Lower is healthier
ST99thUS22ndDefinition & 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 ›The read
On the composite measure, Bighorn, Montana (ZIP 59010) stands in the bottom 46% nationally (17,378th) and the bottom 48% of Montana (177th), based on limited data; treat as directional.
Several readings make the pressure on this area plain: unemployment is in the top 1.7% nationally, and walkability registers in the bottom 1.7% nationally. Slow internet speeds lies in the top 2.0% nationally, and modeled fine-particle is in the top 5.0% nationally. Distance to a nursing home registers in the top 7.6% nationally. On the encouraging side, poverty lies at the national minimum, housing-cost burden is in the bottom 5.5% nationally, and homeownership registers in the top 5.9% nationally. Households without a vehicle lies at the national minimum, shared with about 16% of ZIPs. Modeled short sleep is in the bottom 12.0% nationally.
Set beside the wider area around it, slow internet speeds runs far higher than the surrounding ZIPs on this measure. For clarity, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. ZIP 59038, just across the boundary, ranks better overall among the ZIPs nearby.
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
Risk Behavior
healthier than 63%
11%
About typical
Chronic Disease Burden
healthier than 57%
21%
Disability
healthier than 45%
7%
Climate / Disaster RiskPartial
healthier than 56%
5%
Holding it back
Social Need / SDOH
healthier than 25%
16%
Environmental Hazard
healthier than 39%
14%
Preventive Care
healthier than 26%
13%
Mental Health
healthier than 40%
8%
Healthcare Access
healthier than 20%
5%
Lifting this score
Chronic Disease Burden
healthier than 64%
21%
Healthcare Access
healthier than 61%
5%
About typical
Environmental Hazard
healthier than 56%
14%
Disability
healthier than 41%
7%
Holding it back
Social Need / SDOH
healthier than 21%
16%
Preventive Care
healthier than 30%
13%
Risk Behavior
healthier than 38%
11%
Mental Health
healthier than 31%
8%
Climate / Disaster RiskPartial
healthier than 3%
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
59024
Montanashares a border
Score 46.64
Closest healthier
59038
Montanashares a border
Score 50.40
Similar health profile
80757
Colorado94% similar profile
Score 46.93
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 | 30.4% | 27.7–33.2 |
| High blood pressure among adults | 35.2% | 32.1–38.6 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.2–11.1 |
| Current asthma among adults | 11.4% | 10.3–12.7 |
| Coronary heart disease among adults | 7.3% | 6.4–8.3 |
| Chronic obstructive pulmonary disease among adults | 8.4% | 6.9–10.1 |
| Depression among adults | 24.3% | 21.6–27.3 |
| Diagnosed diabetes among adults | 11.2% | 9.7–12.8 |
| High cholesterol among adults who have ever been screened | 33.7% | 30.6–37.0 |
| Obesity among adults | 33.3% | 28.1–39.0 |
| Stroke among adults | 4.0% | 3.4–4.6 |
| All teeth lost among adults aged >=65 years | 9.3% | 8.0–10.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.6% | 9.1–14.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.8% | 73.4–78.4 |
| Visits to doctor for routine checkup within the past year among adults | 72.8% | 69.6–75.9 |
| Cholesterol screening among adults | 83.9% | 81.6–86.0 |
| Colorectal cancer screening among adults aged 45–75 years | 65.1% | 61.4–68.6 |
| Visited dentist or dental clinic in the past year among adults | 61.8% | 59.0–64.5 |
| Mammography use among women aged 50-74 years | 76.2% | 70.8–80.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.2% | 15.8–20.8 |
| Current cigarette smoking among adults | 15.5% | 12.4–18.7 |
| No leisure-time physical activity among adults | 23.5% | 19.5–27.8 |
| Short sleep duration among adults | 30.5% | 26.4–34.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.2% | 17.1–23.9 |
| Frequent mental distress among adults | 17.1% | 15.1–19.2 |
| Frequent physical distress among adults | 15.0% | 13.0–17.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.6% | 12.4–17.1 |
| Any disability among adults | 31.6% | 27.5–35.9 |
| Hearing disability among adults | 9.2% | 8.2–10.3 |
| Independent living disability among adults | 8.8% | 7.4–10.3 |
| Mobility disability among adults | 14.7% | 12.4–17.4 |
| Self-care disability among adults | 4.1% | 3.4–4.8 |
| Vision disability among adults | 5.3% | 4.5–6.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.0% | 18.4–23.9 |
| Food insecurity in the past 12 months among adults | 13.5% | 10.8–16.4 |
| Received food stamps in the past 12 months among adults | 10.2% | 7.8–12.9 |
| Housing insecurity in the past 12 months among adults | 10.4% | 8.6–12.4 |
| Lack of reliable transportation in the past 12 months among adults | 8.1% | 6.9–9.3 |
| Loneliness among adults | 30.7% | 27.2–34.4 |
| Utility services shut-off threat in the past 12 months among adults | 7.5% | 6.3–8.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 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+) | 37.3% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | 22.2% | 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 | 88.8% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 5.6% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 97.8% | 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 | 50.0% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 16.8% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 39.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $73,250 | $72,070 ($46,039–$118,707) n=30,318 | $66,875 ($44,980–$95,192) n=321 |
| Median home value | $344,700 | $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 | 78.2 yr ± 1.43 | 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 1.43 years of 78.2, 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