ZIP code
84645
in Mona, UtahPopulation 3,316
53.86/ 100
Ranked #10,873 of 32,066 US ZIPs (top 34%)
Ranked #160 of 284 Utah ZIPs (bottom 44%)
Ranked #23 of 27 Provo-Orem-Lehi, UT ZIPs (bottom 14.9%)
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
5.3 days/year
in the bottom 3.3% nationally
Lower is healthier
ST32ndUS3rdDefinition & 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 ›Crowded housing
9.6%
in the top 5.0% nationally
Lower is healthier
ST93rdUS95thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Park land
24.7%
in the top 5.7% nationally
Higher is healthier
ST88thUS94thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Air-toxics cancer risk
13.5 per million
in the bottom 5.9% nationally
Lower is healthier
ST52ndUS6thDefinition & 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
31.1%
in the bottom 4.7% nationally
Lower is healthier
ST25thUS5thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›High blood pressure
28%
in the bottom 6.1% nationally
Lower is healthier
ST27thUS6thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Expected annual disaster loss
$0
in the bottom 9.1% nationally
Lower is healthier
ST13thUS9thDefinition & 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 ›Diabetes
8.8%
in the bottom 7.6% nationally
Lower is healthier
ST29thUS8thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›The read
Mona, Utah (ZIP 84645), by its composite score, sits in the top 34% healthiest ZIPs nationally (10,873rd) and the bottom 44% of Utah (160th), based on limited data; treat as directional.
The standout strengths in the data are the natural place to begin: modeled humid heat lies in the bottom 3.3% nationally, and park land rests in the top 5.7% nationally. Modeled air-toxics cancer risk resides in the bottom 5.9% nationally, and high cholesterol is in the bottom 4.7% nationally. Modeled high blood pressure lands in the bottom 6.1% nationally, expected annual loss stands in the bottom 9.1% nationally, and diabetes registers in the bottom 7.6% nationally. Modeled binge drinking settles in the bottom 12.2% nationally. On the other side, crowded housing sits in the top 5.0% nationally, and modeled fine-particle lies in the top 11.7% nationally.
Next to the surrounding area, park land runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. For a healthier comparison close by, see ZIP 84626, just across the boundary.
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. Compare it against the US, this state and the Provo-Orem-Lehi, UT metro area.
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 84%
21%
Social Need / SDOH
healthier than 63%
16%
Environmental Hazard
healthier than 69%
14%
Risk Behavior
healthier than 88%
11%
Disability
healthier than 63%
7%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Holding it back
Preventive Care
healthier than 8%
13%
Mental Health
healthier than 11%
8%
Healthcare Access
healthier than 27%
5%
Lifting this score
Environmental Hazard
healthier than 72%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 47%
21%
Disability
healthier than 42%
7%
Holding it back
Social Need / SDOH
healthier than 21%
16%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 14%
8%
Healthcare Access
healthier than 35%
5%
Lifting this score
Environmental Hazard
healthier than 89%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 39%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 7%
7%
Healthcare Access
healthier than 21%
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
84626
Utahshares a border
Score 61.60
Closest healthier
84633
Utahshares a border
Score 55.92
Similar health profile
84306
Utah98% similar profile
Score 53.38
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 | 23.3% | 20.2–26.2 |
| High blood pressure among adults | 28.0% | 24.1–31.8 |
| Cancer (non-skin) or melanoma among adults | 7.3% | 6.5–8.0 |
| Current asthma among adults | 11.5% | 10.0–12.9 |
| Coronary heart disease among adults | 5.2% | 4.6–5.8 |
| Chronic obstructive pulmonary disease among adults | 6.0% | 5.1–6.9 |
| Depression among adults | 27.8% | 23.5–31.8 |
| Diagnosed diabetes among adults | 8.8% | 7.5–10.2 |
| High cholesterol among adults who have ever been screened | 31.1% | 26.8–35.0 |
| Obesity among adults | 33.2% | 25.5–40.5 |
| Stroke among adults | 2.8% | 2.5–3.1 |
| All teeth lost among adults aged >=65 years | 11.0% | 8.9–13.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.6% | 7.8–12.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 66.4% | 62.2–69.8 |
| Visits to doctor for routine checkup within the past year among adults | 68.7% | 63.8–72.9 |
| Cholesterol screening among adults | 77.9% | 74.8–80.5 |
| Colorectal cancer screening among adults aged 45–75 years | 61.5% | 56.5–66.4 |
| Visited dentist or dental clinic in the past year among adults | 66.2% | 62.7–69.8 |
| Mammography use among women aged 50-74 years | 72.6% | 64.4–80.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.8% | 10.1–15.4 |
| Current cigarette smoking among adults | 11.4% | 9.3–13.7 |
| No leisure-time physical activity among adults | 19.1% | 15.3–23.2 |
| Short sleep duration among adults | 36.7% | 30.4–43.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.5% | 14.9–20.6 |
| Frequent mental distress among adults | 19.4% | 17.0–21.9 |
| Frequent physical distress among adults | 13.6% | 11.8–15.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.5% | 15.2–20.2 |
| Any disability among adults | 30.4% | 25.9–35.3 |
| Hearing disability among adults | 6.8% | 6.0–7.7 |
| Independent living disability among adults | 8.2% | 7.1–9.5 |
| Mobility disability among adults | 11.6% | 9.8–13.5 |
| Self-care disability among adults | 3.3% | 2.9–3.7 |
| Vision disability among adults | 4.3% | 3.8–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.3% | 17.9–24.9 |
| Food insecurity in the past 12 months among adults | 13.8% | 11.1–16.7 |
| Received food stamps in the past 12 months among adults | 7.9% | 6.3–9.7 |
| Housing insecurity in the past 12 months among adults | 10.6% | 8.8–12.6 |
| Lack of reliable transportation in the past 12 months among adults | 7.6% | 6.5–8.8 |
| Loneliness among adults | 31.5% | 26.7–36.6 |
| Utility services shut-off threat in the past 12 months among adults | 7.4% | 6.2–8.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | UT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.0% | 10.6% (3.1–25.8%) n=32,364 | 7.0% (1.0–21.5%) n=283 |
| Uninsured 18–64 | 12.3% | 9.0% (1.5–24.3%) n=32,286 | 10.1% (2.9–25.0%) n=281 |
| No HS diploma (25+) | 10.4% | 7.9% (1.8–20.7%) n=32,505 | 5.4% (0.0–15.0%) n=284 |
| Bachelor's or higher (25+) | 18.1% | 23.3% (9.2–53.6%) n=32,505 | 28.5% (10.8–53.1%) n=284 |
| Unemployment rate (16+) | 1.0% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.7%) n=281 |
| Households without a vehicle | 0.9% | 3.9% (0.0–12.5%) n=32,322 | 2.0% (0.0–7.7%) n=283 |
| Broadband subscription | 83.6% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (78.4–98.3%) n=283 |
| Housing cost burden (≥30% income) | 12.7% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.6–35.3%) n=283 |
| Homeownership rate | 89.1% | 78.7% (51.7–94.0%) n=32,322 | 81.5% (52.0–96.8%) n=283 |
| Crowded housing (>1 per room) | 9.6% | 1.3% (0.0–6.3%) n=32,322 | 2.0% (0.0–7.6%) n=283 |
| Foreign-born population | 1.8% | 2.6% (0.0–18.6%) n=32,553 | 3.2% (0.0–11.8%) n=284 |
| Single-parent households | 32.8% | 53.6% (37.3–74.1%) n=32,087 | 49.8% (37.3–72.7%) n=281 |
| Population 65+ | 10.8% | 19.4% (10.8–33.6%) n=32,553 | 15.3% (7.9–29.1%) n=284 |
| Median age | 22.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.9 yr (27.6–52.1) n=283 |
| Median household income | $111,250 | $72,070 ($46,039–$118,707) n=30,318 | $82,344 ($52,938–$126,884) n=260 |
| Median home value | $510,700 | $222,200 ($100,300–$579,820) n=30,049 | $402,500 ($229,220–$651,780) n=259 |
| Median gross rent | $850 | $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 | 79.0 yr ± 0.86 | 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 0.86 years of 79.0, 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