ZIP code
84752
in Minersville, UtahPopulation 972
56.66/ 100
Ranked #7,582 of 32,066 US ZIPs (top 24%)
Ranked #110 of 284 Utah ZIPs (top 39%)
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.
Elder-services access
1.1 per 1,000 residents
in the top 0.6% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of services for older adults and people with disabilities inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Humid extreme heat
2 days/year
in the bottom 1.3% nationally
Lower is healthier
ST7thUS1stDefinition & 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 nursing home
33 mi
in the top 1.3% nationally
Lower is healthier
ST94thUS99thDefinition & 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
148.6 mi
in the top 1.9% nationally
Higher is healthier
ST86thUS98thDefinition & 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 1.9% 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 ›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 ›Distance to a community health center
35.5 mi
in the top 2.9% nationally
Lower is healthier
ST95thUS97thDefinition & 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 ›Homeownership rate
97.2%
in the top 6.3% nationally
Higher is healthier
ST90thUS94thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Binge drinking
11.7%
in the bottom 5.3% nationally
Lower is healthier
ST72ndUS5thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Expected annual disaster loss
$0
in the bottom 7.9% nationally
Lower is healthier
ST10thUS8thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›The read
Minersville, Utah (ZIP 84752), by its composite score, sits in the top 24% healthiest ZIPs nationally (7,582nd) and the top 39% of Utah (110th), based on limited data; treat as directional.
The data opens on a genuinely even set of readings: elder services lies in the top 0.6% nationally, and modeled humid heat rests in the bottom 1.3% nationally. Distance to a Superfund site resides in the top 1.9% nationally, and modeled industrial-pollution burden is in the bottom 1.9% nationally. Modeled air-toxics cancer risk lands in the bottom 2.8% nationally, homeownership stands in the top 6.3% nationally, and modeled binge drinking registers in the bottom 5.3% nationally. Modeled expected annual loss settles in the bottom 7.9% nationally. On the other side, distance to a nursing home sits in the top 1.3% nationally, and distance to a community health center lies in the top 2.9% nationally.
Next to the surrounding area, elder services runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, 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. For a healthier comparison close by, see ZIP 84713, about 2.5 miles away.
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 81%
21%
Social Need / SDOH
healthier than 83%
16%
Environmental Hazard
in the top 0.5%
14%
Risk Behavior
healthier than 93%
11%
Disability
healthier than 65%
7%
Climate / Disaster RiskPartial
in the top 0.10%
5%
Holding it back
Preventive Care
healthier than 16%
13%
Mental Health
healthier than 27%
8%
Healthcare Access
in the bottom 0.3%
5%
Lifting this score
Environmental Hazard
healthier than 97%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 52%
16%
Preventive Care
healthier than 46%
13%
Mental Health
healthier than 49%
8%
Disability
healthier than 43%
7%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Risk Behavior
healthier than 36%
11%
Healthcare Access
in the bottom 0.4%
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
84731
Utahshares a border
Score 56.59
Closest healthier
84713
Utahabout 2.5 mi away
Score 57.84
Similar health profile
84080
Utah97% similar profile
Score 57.21
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 | 25.6% | 22.4–28.8 |
| High blood pressure among adults | 30.1% | 26.3–34.1 |
| Cancer (non-skin) or melanoma among adults | 8.3% | 7.5–9.2 |
| Current asthma among adults | 10.9% | 9.6–12.3 |
| Coronary heart disease among adults | 5.8% | 5.0–6.6 |
| Chronic obstructive pulmonary disease among adults | 6.0% | 4.9–7.0 |
| Depression among adults | 26.3% | 22.5–30.4 |
| Diagnosed diabetes among adults | 10.0% | 8.4–11.6 |
| High cholesterol among adults who have ever been screened | 33.4% | 29.2–37.6 |
| Obesity among adults | 29.3% | 22.1–37.2 |
| Stroke among adults | 3.0% | 2.6–3.4 |
| All teeth lost among adults aged >=65 years | 11.4% | 9.1–14.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.2% | 8.1–12.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.3% | 66.7–73.7 |
| Visits to doctor for routine checkup within the past year among adults | 71.3% | 66.9–75.4 |
| Cholesterol screening among adults | 81.6% | 79.0–83.9 |
| Colorectal cancer screening among adults aged 45–75 years | 66.3% | 61.3–71.0 |
| Visited dentist or dental clinic in the past year among adults | 70.4% | 66.8–73.7 |
| Mammography use among women aged 50-74 years | 69.7% | 60.6–77.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.7% | 9.5–14.3 |
| Current cigarette smoking among adults | 10.3% | 8.1–12.5 |
| No leisure-time physical activity among adults | 20.0% | 15.7–24.2 |
| Short sleep duration among adults | 35.1% | 28.2–42.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.3% | 14.3–20.4 |
| Frequent mental distress among adults | 17.3% | 15.1–19.7 |
| Frequent physical distress among adults | 13.7% | 11.7–15.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.7% | 13.4–18.1 |
| Any disability among adults | 30.6% | 25.8–35.6 |
| Hearing disability among adults | 7.5% | 6.5–8.5 |
| Independent living disability among adults | 7.5% | 6.3–8.7 |
| Mobility disability among adults | 12.3% | 10.2–14.5 |
| Self-care disability among adults | 3.3% | 2.8–3.8 |
| Vision disability among adults | 4.4% | 3.8–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.4% | 17.0–24.0 |
| Food insecurity in the past 12 months among adults | 12.3% | 9.8–15.1 |
| Received food stamps in the past 12 months among adults | 6.6% | 5.1–8.3 |
| Housing insecurity in the past 12 months among adults | 9.8% | 8.0–11.7 |
| Lack of reliable transportation in the past 12 months among adults | 6.8% | 5.7–8.0 |
| Loneliness among adults | 31.2% | 26.0–36.4 |
| Utility services shut-off threat in the past 12 months among adults | 6.5% | 5.4–7.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | UT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.3% | 10.6% (3.1–25.8%) n=32,364 | 7.0% (1.0–21.5%) n=283 |
| Uninsured 18–64 | 6.9% | 9.0% (1.5–24.3%) n=32,286 | 10.1% (2.9–25.0%) n=281 |
| No HS diploma (25+) | 5.7% | 7.9% (1.8–20.7%) n=32,505 | 5.4% (0.0–15.0%) n=284 |
| Bachelor's or higher (25+) | 23.4% | 23.3% (9.2–53.6%) n=32,505 | 28.5% (10.8–53.1%) n=284 |
| Unemployment rate (16+) | 7.6% | 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 | 96.9% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (78.4–98.3%) n=283 |
| Housing cost burden (≥30% income) | 18.1% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.6–35.3%) n=283 |
| Homeownership rate | 97.2% | 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 | 6.2% | 2.6% (0.0–18.6%) n=32,553 | 3.2% (0.0–11.8%) n=284 |
| Single-parent households | 51.4% | 53.6% (37.3–74.1%) n=32,087 | 49.8% (37.3–72.7%) n=281 |
| Population 65+ | 11.7% | 19.4% (10.8–33.6%) n=32,553 | 15.3% (7.9–29.1%) n=284 |
| Median age | 33.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.9 yr (27.6–52.1) n=283 |
| Median household income | $74,792 | $72,070 ($46,039–$118,707) n=30,318 | $82,344 ($52,938–$126,884) n=260 |
| Median home value | $322,400 | $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 | 82.1 yr ± 1.65 | 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 1.65 years of 82.1, 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