ZIP code
84755
in Mount Carmel, UtahPopulation 78
53.47/ 100
Ranked #11,421 of 32,066 US ZIPs (top 36%)
Ranked #169 of 284 Utah ZIPs (bottom 40%)
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.
Humid extreme heat
1.2 days/year
in the bottom 0.8% nationally
Lower is healthier
ST3rdUS1stDefinition & 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 ›Distance to a Superfund site
186.6 mi
in the top 1.2% nationally
Higher is healthier
ST94thUS99thDefinition & 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 ›Industrial-pollution burden
in the bottom 2.0% nationally
Lower is healthier
ST6thUS2ndDefinition & 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 ›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 ›Air-toxics cancer risk
10 per million
in the bottom 2.8% nationally
Lower is healthier
ST24thUS3rdDefinition & 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 ›High cholesterol
29.3%
in the bottom 2.8% nationally
Lower is healthier
ST12thUS3rdDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Distance to a nursing home
21 mi
in the top 3.1% nationally
Lower is healthier
ST84thUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Distance to a hazardous-chemical facility
22 mi
in the top 4.0% nationally
Higher is healthier
ST89thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Walkability
1.7 intersections/sq mi
in the bottom 5.8% nationally
Higher is healthier
ST13thUS6thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›The read
By the composite measure, Mount Carmel, Utah (ZIP 84755) sits in the top 36% healthiest ZIPs nationally (11,421st) and the bottom 40% of Utah (169th), based on limited data; treat as directional.
The profile cuts both ways, and the readings bear that out: modeled humid heat stands in the bottom 0.8% nationally, distance to a Superfund site is in the top 1.2% nationally, and modeled industrial-pollution burden rests in the bottom 2.0% nationally. Poverty sits at the national minimum, homeownership registers at the national maximum, and modeled air-toxics cancer risk lands in the bottom 2.8% nationally. Modeled high cholesterol resides in the bottom 2.8% nationally, and distance to a hazardous-chemical facility lies in the top 4.0% nationally. Working the other way, distance to a nursing home settles in the top 3.1% nationally, and walkability stands in the bottom 5.8% nationally.
In plain language, 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. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. ZIP 84741, 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
Chronic Disease Burden
healthier than 85%
21%
Environmental Hazard
in the top 0.3%
14%
Risk Behavior
healthier than 91%
11%
Climate / Disaster RiskPartial
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Disability
healthier than 55%
7%
Holding it back
Preventive Care
healthier than 5%
13%
Mental Health
healthier than 8%
8%
Healthcare Access
healthier than 12%
5%
Lifting this score
Environmental Hazard
in the top 0.00%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Holding it back
Social Need / SDOH
healthier than 15%
16%
Preventive Care
healthier than 15%
13%
Risk Behavior
healthier than 25%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 31%
7%
Healthcare Access
healthier than 20%
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
84741
Utahshares a border
Score 58.77
Closest healthier
84762
Utahshares a border
Score 53.70
Similar health profile
84645
Utah97% similar profile
Score 53.86
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 | 21.8% | 18.9–24.6 |
| High blood pressure among adults | 27.0% | 23.2–30.6 |
| Cancer (non-skin) or melanoma among adults | 6.7% | 5.9–7.5 |
| Current asthma among adults | 11.4% | 10.0–12.8 |
| Coronary heart disease among adults | 5.1% | 4.4–6.1 |
| Chronic obstructive pulmonary disease among adults | 5.8% | 4.6–7.3 |
| Depression among adults | 28.8% | 24.5–33.1 |
| Diagnosed diabetes among adults | 8.6% | 7.3–10.1 |
| High cholesterol among adults who have ever been screened | 29.3% | 25.4–33.0 |
| Obesity among adults | 33.6% | 26.0–41.6 |
| Stroke among adults | 2.8% | 2.4–3.3 |
| All teeth lost among adults aged >=65 years | 17.3% | 14.0–20.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.9% | 7.0–13.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 64.8% | 61.3–67.9 |
| Visits to doctor for routine checkup within the past year among adults | 68.1% | 63.1–72.5 |
| Cholesterol screening among adults | 75.0% | 71.1–78.9 |
| Colorectal cancer screening among adults aged 45–75 years | 60.3% | 55.0–65.4 |
| Visited dentist or dental clinic in the past year among adults | 66.7% | 63.3–70.2 |
| Mammography use among women aged 50-74 years | 68.5% | 59.3–76.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 10.6–16.2 |
| Current cigarette smoking among adults | 11.0% | 8.2–14.2 |
| No leisure-time physical activity among adults | 19.4% | 15.1–24.3 |
| Short sleep duration among adults | 34.1% | 27.8–40.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.9% | 14.4–21.8 |
| Frequent mental distress among adults | 19.8% | 16.9–22.7 |
| Frequent physical distress among adults | 13.3% | 11.2–15.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.5% | 15.3–22.0 |
| Any disability among adults | 32.5% | 27.1–38.0 |
| Hearing disability among adults | 7.2% | 6.2–8.4 |
| Independent living disability among adults | 8.9% | 7.2–10.8 |
| Mobility disability among adults | 11.5% | 9.4–14.1 |
| Self-care disability among adults | 3.3% | 2.7–4.1 |
| Vision disability among adults | 4.8% | 4.0–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.4% | 16.6–25.0 |
| Food insecurity in the past 12 months among adults | 14.9% | 10.8–19.7 |
| Received food stamps in the past 12 months among adults | 9.3% | 6.3–12.8 |
| Housing insecurity in the past 12 months among adults | 11.1% | 8.3–14.0 |
| Lack of reliable transportation in the past 12 months among adults | 8.6% | 6.7–10.6 |
| Loneliness among adults | 33.7% | 28.4–39.6 |
| Utility services shut-off threat in the past 12 months among adults | 8.0% | 6.2–10.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | UT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 7.0% (1.0–21.5%) n=283 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 10.1% (2.9–25.0%) n=281 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 5.4% (0.0–15.0%) n=284 |
| Bachelor's or higher (25+) | 7.5% | 23.3% (9.2–53.6%) n=32,505 | 28.5% (10.8–53.1%) n=284 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.7%) n=281 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 2.0% (0.0–7.7%) n=283 |
| Broadband subscription | 95.1% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (78.4–98.3%) n=283 |
| Housing cost burden (≥30% income) | 22.0% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.6–35.3%) n=283 |
| Homeownership rate | 100.0% | 78.7% (51.7–94.0%) n=32,322 | 81.5% (52.0–96.8%) n=283 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 2.0% (0.0–7.6%) n=283 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 3.2% (0.0–11.8%) n=284 |
| Single-parent households | 57.7% | 53.6% (37.3–74.1%) n=32,087 | 49.8% (37.3–72.7%) n=281 |
| Population 65+ | 32.1% | 19.4% (10.8–33.6%) n=32,553 | 15.3% (7.9–29.1%) n=284 |
| Median age | 59.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.9 yr (27.6–52.1) n=283 |
| Median household income | $68,295 | $72,070 ($46,039–$118,707) n=30,318 | $82,344 ($52,938–$126,884) n=260 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $402,500 ($229,220–$651,780) n=259 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $1,321 ($834–$1,911) n=198 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | UT median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 86.6 yr ± 2.92 | 78.9 yr (74.7–82.8) n=31,308 | 80.7 yr (77.0–85.3) n=277 |
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 2.92 years of 86.6, 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