ZIP code
59211
in Antelope, MontanaPopulation 298
46.76/ 100
Ranked #20,446 of 32,066 US ZIPs (bottom 36%)
Ranked #223 of 341 Montana ZIPs (bottom 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.
Energy-cost burden
7.2%
in the top 1.1% nationally
Lower is healthier
ST93rdUS99thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Distance to a Superfund site
270.7 mi
in the top 0.5% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Distance to a community health center
53.5 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 ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Slow internet speeds
3.1%
in the top 3.7% nationally
Lower is healthier
ST84thUS96thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Walkability
1.3 intersections/sq mi
in the bottom 3.9% nationally
Higher is healthier
ST51stUS4thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Housing-cost burden
47.4%
in the top 4.2% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Industrial-pollution burden
in the bottom 4.8% nationally
Lower is healthier
ST26thUS5thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Humid extreme heat
9.8 days/year
in the bottom 6.9% nationally
Lower is healthier
ST61stUS7thDefinition & 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 ›Short sleep
29.8%
in the bottom 8.8% nationally
Lower is healthier
ST25thUS9thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›The read
By the composite health measure, Antelope, Montana (ZIP 59211) ranks in the bottom 36% nationally (20,446th) and the bottom 35% of Montana (223rd), based on limited data; treat as directional.
A number of measures mark where this area is under strain: modeled energy burden lands in the top 1.1% nationally, and distance to a community health center sits in the top 0.9% nationally. Slow internet speeds is in the top 3.7% nationally, and walkability settles in the bottom 3.9% nationally. Housing-cost burden resides in the top 4.2% nationally. On the brighter side, distance to a Superfund site registers in the top 0.5% nationally, home broadband subscription rests at the national maximum, and modeled industrial-pollution burden stands in the bottom 4.8% nationally. Modeled humid heat lies in the bottom 6.9% nationally. Unemployment lands at the national minimum, shared with about 15% of ZIPs.
To spell things out, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Energy burden is the share of household income that goes to home energy bills. Close by, ZIP 59219, just across the boundary, ranks 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 90%
14%
Risk Behavior
healthier than 64%
11%
Mental Health
healthier than 60%
8%
Climate / Disaster RiskPartial
healthier than 93%
5%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
healthier than 6%
16%
Preventive Care
healthier than 31%
13%
Disability
healthier than 39%
7%
Healthcare Access
healthier than 2%
5%
Lifting this score
Environmental Hazard
healthier than 93%
14%
Mental Health
healthier than 61%
8%
About typical
Risk Behavior
healthier than 40%
11%
Holding it back
Chronic Disease Burden
healthier than 28%
21%
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 38%
13%
Disability
healthier than 32%
7%
Climate / Disaster RiskPartial
healthier than 34%
5%
Healthcare Access
healthier than 9%
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
59219
Montanashares a border
Score 49.28
Closest healthier
59254
Montanashares a border
Score 47.74
Similar health profile
59059
Montana98% similar profile
Score 45.41
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% | 29.8–37.5 |
| High blood pressure among adults | 39.7% | 35.3–44.1 |
| Cancer (non-skin) or melanoma among adults | 11.2% | 10.1–12.3 |
| Current asthma among adults | 10.9% | 9.6–12.3 |
| Coronary heart disease among adults | 8.8% | 7.8–9.9 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 7.6–10.4 |
| Depression among adults | 22.7% | 19.2–26.4 |
| Diagnosed diabetes among adults | 12.4% | 10.6–14.3 |
| High cholesterol among adults who have ever been screened | 37.9% | 33.3–42.4 |
| Obesity among adults | 35.8% | 28.0–44.0 |
| Stroke among adults | 4.5% | 4.0–5.0 |
| All teeth lost among adults aged >=65 years | 15.5% | 12.6–18.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.3% | 7.3–11.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.8% | 74.5–80.6 |
| Visits to doctor for routine checkup within the past year among adults | 74.4% | 70.3–78.0 |
| Cholesterol screening among adults | 84.8% | 82.5–86.8 |
| Colorectal cancer screening among adults aged 45–75 years | 68.2% | 62.9–73.3 |
| Visited dentist or dental clinic in the past year among adults | 62.4% | 58.6–66.0 |
| Mammography use among women aged 50-74 years | 70.3% | 61.5–78.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.5% | 15.3–21.9 |
| Current cigarette smoking among adults | 15.0% | 12.4–18.1 |
| No leisure-time physical activity among adults | 23.9% | 19.6–28.9 |
| Short sleep duration among adults | 29.8% | 23.7–36.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.6% | 17.6–24.1 |
| Frequent mental distress among adults | 15.9% | 13.9–18.0 |
| Frequent physical distress among adults | 15.7% | 13.6–18.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.1% | 12.2–16.3 |
| Any disability among adults | 33.3% | 28.8–38.3 |
| Hearing disability among adults | 10.7% | 9.4–12.0 |
| Independent living disability among adults | 8.5% | 7.4–9.9 |
| Mobility disability among adults | 16.0% | 13.8–18.7 |
| Self-care disability among adults | 4.3% | 3.8–5.0 |
| Vision disability among adults | 5.2% | 4.6–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.6% | 18.1–25.6 |
| Food insecurity in the past 12 months among adults | 11.3% | 9.1–13.9 |
| Received food stamps in the past 12 months among adults | 8.0% | 6.4–10.1 |
| Housing insecurity in the past 12 months among adults | 8.4% | 6.9–10.2 |
| Lack of reliable transportation in the past 12 months among adults | 7.0% | 6.0–8.3 |
| Loneliness among adults | 29.4% | 24.5–34.9 |
| Utility services shut-off threat in the past 12 months among adults | 6.0% | 5.1–7.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.4% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 7.2% | 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+) | 83.2% | 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 | 10.5% | 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) | 47.4% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 73.7% | 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 | 5.0% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 31.6% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 0.0% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 8.8 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 | 76.9 yr ± 0.96 | 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 0.96 years of 76.9, 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