ZIP code
59856
in Paradise, MontanaPopulation 130
43.70/ 100
Ranked #23,699 of 32,066 US ZIPs (bottom 26%)
Ranked #274 of 341 Montana ZIPs (bottom 20%)
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.
Fine-particle (PM2.5) exceedance
7.1%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & 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
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Industrial-pollution burden
in the bottom 2.0% nationally
Lower is healthier
ST17thUS2ndDefinition & 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 ›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 ›Energy-cost burden
6.1%
in the top 2.7% nationally
Lower is healthier
ST85thUS97thDefinition & 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 ›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 ›Distance to a community health center
37.1 mi
in the top 2.6% nationally
Lower is healthier
ST86thUS97thDefinition & 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 ›Park land
37.2%
in the top 3.6% nationally
Higher is healthier
ST85thUS96thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Transportation noise
15%
in the top 4.3% nationally
Lower is healthier
ST99thUS96thDefinition & 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 ›The read
Overall, Paradise, Montana (ZIP 59856) lands in the bottom 26% nationally (23,699th) and the bottom 20% of Montana (274th).
Several measures weigh most on this area's profile, and they come first: modeled fine-particle lands in the top 0.5% nationally, and energy burden sits in the top 2.7% nationally. Distance to a community health center is in the top 2.6% nationally, and modeled transportation noise settles in the top 4.3% nationally. On the better side, housing-cost burden resides at the national minimum, modeled industrial-pollution burden registers in the bottom 2.0% nationally, and poverty rests at the national minimum. Homeownership stands at the national maximum, home broadband subscription lies at the national maximum, and park land lands in the top 3.6% nationally.
Set beside the nearby areas, park land runs far higher than the surrounding ZIPs on this measure. A note on the terms: fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. 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. For a healthier nearby comparison, ZIP 59866, about 3.0 miles away, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 73%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Risk Behavior
healthier than 54%
11%
Mental Health
healthier than 57%
8%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 27%
13%
Disability
healthier than 26%
7%
Healthcare Access
healthier than 2%
5%
Nothing measured is lifting this score.
About typical
Social Need / SDOH
healthier than 55%
16%
Mental Health
healthier than 55%
8%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Environmental Hazard
healthier than 15%
14%
Preventive Care
healthier than 32%
13%
Risk Behavior
healthier than 28%
11%
Disability
healthier than 16%
7%
Climate / Disaster Risk
healthier than 9%
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
59859
Montanashares a border
Score 42.64
Closest healthier
59866
Montanaabout 3.0 mi away
Score 45.91
Similar health profile
99121
Washington96% similar profile
Score 43.98
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 | 36.7% | 33.0–40.3 |
| High blood pressure among adults | 39.6% | 35.6–43.6 |
| Cancer (non-skin) or melanoma among adults | 12.2% | 11.0–13.6 |
| Current asthma among adults | 11.2% | 9.8–12.5 |
| Coronary heart disease among adults | 9.8% | 8.5–11.1 |
| Chronic obstructive pulmonary disease among adults | 10.4% | 8.6–12.3 |
| Depression among adults | 23.1% | 19.7–26.4 |
| Diagnosed diabetes among adults | 12.9% | 11.0–14.9 |
| High cholesterol among adults who have ever been screened | 37.9% | 33.7–42.0 |
| Obesity among adults | 34.5% | 28.3–40.9 |
| Stroke among adults | 5.1% | 4.4–5.7 |
| All teeth lost among adults aged >=65 years | 16.0% | 12.9–19.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.2% | 7.9–13.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.0% | 75.8–82.0 |
| Visits to doctor for routine checkup within the past year among adults | 73.5% | 69.5–77.2 |
| Cholesterol screening among adults | 86.1% | 84.0–88.2 |
| Colorectal cancer screening among adults aged 45–75 years | 64.6% | 59.1–69.4 |
| Visited dentist or dental clinic in the past year among adults | 57.1% | 53.2–60.5 |
| Mammography use among women aged 50-74 years | 72.5% | 64.7–79.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.8% | 14.0–19.9 |
| Current cigarette smoking among adults | 16.4% | 13.2–19.7 |
| No leisure-time physical activity among adults | 24.9% | 20.2–29.9 |
| Short sleep duration among adults | 33.3% | 27.4–39.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.3% | 18.5–26.2 |
| Frequent mental distress among adults | 16.0% | 14.0–18.2 |
| Frequent physical distress among adults | 17.1% | 14.7–19.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.4% | 12.3–16.8 |
| Any disability among adults | 35.8% | 30.7–40.9 |
| Hearing disability among adults | 11.7% | 10.3–13.2 |
| Independent living disability among adults | 9.4% | 7.9–11.0 |
| Mobility disability among adults | 18.1% | 15.1–21.3 |
| Self-care disability among adults | 4.9% | 4.2–5.8 |
| Vision disability among adults | 5.9% | 5.0–6.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.0% | 17.5–24.9 |
| Food insecurity in the past 12 months among adults | 12.4% | 9.8–15.5 |
| Received food stamps in the past 12 months among adults | 9.6% | 7.5–12.4 |
| Housing insecurity in the past 12 months among adults | 9.0% | 7.2–11.0 |
| Lack of reliable transportation in the past 12 months among adults | 7.4% | 6.2–8.9 |
| Loneliness among adults | 27.9% | 23.3–33.0 |
| Utility services shut-off threat in the past 12 months among adults | 6.8% | 5.6–8.1 |
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+) | 27.7% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (0.0–14.1%) n=360 |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | 26.6% (12.3–46.1%) n=360 |
| Unemployment rate (16+) | — | 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) | 0.0% | 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 | 58.7% | 53.6% (37.3–74.1%) n=32,087 | 61.3% (39.9–84.5%) n=356 |
| Population 65+ | 86.9% | 19.4% (10.8–33.6%) n=32,553 | 24.0% (12.9–44.0%) n=360 |
| Median age | 72.5 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 | 79.6 yr ± 1.66 | 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 1.66 years of 79.6, 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