ZIP code
59314
in Biddle, MontanaPopulation 155
49.90/ 100
Ranked #16,382 of 32,066 US ZIPs (bottom 49%)
Ranked #161 of 341 Montana ZIPs (top 47%)
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.
PFAS in drinking water
4.0%
in the bottom 0.5% nationally
Lower is healthier
ST1stUS1stDefinition & 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 an emergency room
49.1 mi
in the top 0.8% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Distance to a community health center
41.5 mi
in the top 2.0% nationally
Lower is healthier
ST89thUS98thDefinition & 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 ›Slow internet speeds
6.3%
in the top 2.0% nationally
Lower is healthier
ST94thUS98thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Energy-cost burden
6.1%
in the top 2.7% nationally
Lower is healthier
ST86thUS97thDefinition & 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 ›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 ›Distance to a nursing home
15.9 mi
in the top 4.9% nationally
Lower is healthier
ST64thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Distance to a Superfund site
81.7 mi
in the top 5.0% nationally
Higher is healthier
ST77thUS95thDefinition & 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
0.02%
in the bottom 6.1% nationally
Lower is healthier
ST10thUS6thDefinition & 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 ›Loneliness
27.8%
in the bottom 6.4% nationally
Lower is healthier
ST22ndUS6thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›The read
By the composite measure, Biddle, Montana (ZIP 59314) sits in the bottom 49% nationally (16,382nd) and the top 47% of Montana (161st), based on limited data; treat as directional.
Where the data speaks clearest about this place, it leads: distance to an emergency room rests in the top 0.8% nationally, distance to a community health center sits in the top 2.0% nationally, and slow internet speeds registers in the top 2.0% nationally. Modeled energy burden lands in the top 2.7% nationally, modeled fine-particle resides in the top 3.3% nationally, and distance to a nursing home lies in the top 4.9% nationally. Better still, modeled pfas settles in the bottom 0.5% nationally, and distance to a Superfund site stands in the top 5.0% nationally. Modeled transportation noise is in the bottom 6.1% nationally, and loneliness rests in the bottom 6.4% nationally.
Compared with the ZIPs that surround it, slow internet speeds runs far higher than the surrounding ZIPs on this measure. In plain language, 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. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. ZIP 82725, 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
Risk Behavior
healthier than 64%
11%
Mental Health
healthier than 76%
8%
Climate / Disaster RiskPartial
healthier than 82%
5%
About typical
Chronic Disease Burden
healthier than 59%
21%
Disability
healthier than 57%
7%
Holding it back
Social Need / SDOH
healthier than 13%
16%
Environmental Hazard
healthier than 28%
14%
Preventive Care
healthier than 34%
13%
Healthcare Access
in the bottom 0.3%
5%
Lifting this score
Chronic Disease Burden
healthier than 68%
21%
Mental Health
healthier than 86%
8%
Disability
healthier than 62%
7%
About typical
Environmental Hazard
healthier than 47%
14%
Preventive Care
healthier than 46%
13%
Risk Behavior
healthier than 40%
11%
Holding it back
Social Need / SDOH
healthier than 8%
16%
Climate / Disaster RiskPartial
healthier than 12%
5%
Healthcare Access
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
59311
Montanashares a border
Score 43.43
Closest healthier
82725
Wyomingshares a border
Score 53.16
Similar health profile
56014
Minnesota95% similar profile
Score 49.00
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 | 31.2% | 27.5–34.9 |
| High blood pressure among adults | 35.9% | 31.7–40.3 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.4–11.8 |
| Current asthma among adults | 9.8% | 8.7–11.1 |
| Coronary heart disease among adults | 8.1% | 6.9–9.5 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.2–9.8 |
| Depression among adults | 21.0% | 17.8–24.4 |
| Diagnosed diabetes among adults | 11.3% | 9.5–13.3 |
| High cholesterol among adults who have ever been screened | 36.6% | 32.5–40.7 |
| Obesity among adults | 31.1% | 24.4–38.7 |
| Stroke among adults | 3.9% | 3.3–4.6 |
| All teeth lost among adults aged >=65 years | 10.6% | 8.6–13.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.4% | 6.7–12.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.9% | 72.3–79.0 |
| Visits to doctor for routine checkup within the past year among adults | 72.3% | 67.9–76.0 |
| Cholesterol screening among adults | 84.9% | 81.9–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 68.9% | 63.5–74.0 |
| Visited dentist or dental clinic in the past year among adults | 63.4% | 59.7–67.2 |
| Mammography use among women aged 50-74 years | 75.0% | 66.6–82.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.3% | 16.0–22.7 |
| Current cigarette smoking among adults | 14.5% | 11.0–18.5 |
| No leisure-time physical activity among adults | 21.1% | 16.4–26.3 |
| Short sleep duration among adults | 30.9% | 24.5–37.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.4% | 14.8–22.4 |
| Frequent mental distress among adults | 15.2% | 12.9–17.7 |
| Frequent physical distress among adults | 14.4% | 12.1–16.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.0% | 10.6–15.5 |
| Any disability among adults | 31.3% | 26.2–36.7 |
| Hearing disability among adults | 10.0% | 8.7–11.4 |
| Independent living disability among adults | 7.3% | 6.0–8.8 |
| Mobility disability among adults | 13.8% | 11.1–16.8 |
| Self-care disability among adults | 3.7% | 3.0–4.6 |
| Vision disability among adults | 4.5% | 3.7–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.4% | 17.4–25.7 |
| Food insecurity in the past 12 months among adults | 9.9% | 7.0–13.2 |
| Received food stamps in the past 12 months among adults | 7.0% | 4.8–9.6 |
| Housing insecurity in the past 12 months among adults | 7.8% | 5.9–10.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 4.9–7.7 |
| Loneliness among adults | 27.8% | 22.8–33.2 |
| Utility services shut-off threat in the past 12 months among adults | 5.5% | 4.3–6.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.7% | 10.6% (3.1–25.8%) n=32,364 | 9.7% (1.9–27.5%) n=360 |
| Uninsured 18–64 | 36.5% | 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+) | 28.7% | 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 | 3.8% | 3.9% (0.0–12.5%) n=32,322 | 1.7% (0.0–9.5%) n=360 |
| Broadband subscription | 92.3% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.1–100.0%) n=360 |
| Housing cost burden (≥30% income) | 7.7% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.3–37.2%) n=360 |
| Homeownership rate | 76.9% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (56.9–95.8%) n=360 |
| Crowded housing (>1 per room) | 7.7% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–6.6%) n=360 |
| Foreign-born population | 3.2% | 2.6% (0.0–18.6%) n=32,553 | 0.9% (0.0–4.9%) n=360 |
| Single-parent households | 70.6% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 52.9% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 65.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 46.0 yr (32.9–62.3) n=358 |
| Median household income | $91,875 | $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 | 77.9 yr ± 0.72 | 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 0.72 years of 77.9, 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