ZIP code
84055
in Oakley, UtahPopulation 1,584
63.08/ 100
Ranked #2,922 of 32,066 US ZIPs (top 9.2%)
Ranked #29 of 284 Utah ZIPs (top 10.3%)
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.
Obesity
21.3%
in the bottom 1.5% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Park land
65.1%
in the top 1.4% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Short sleep
26.4%
in the bottom 1.0% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Distance to an emergency room
27.2 mi
in the top 2.5% nationally
Lower is healthier
ST88thUS98thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
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
29.7 mi
in the top 4.1% nationally
Lower is healthier
ST90thUS96thDefinition & 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 ›Humid extreme heat
6.9 days/year
in the bottom 4.4% nationally
Lower is healthier
ST44thUS4thDefinition & 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 ›Tree cover
77.1%
in the top 6.1% nationally
Higher is healthier
ST99thUS94thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Distance to a nursing home
12.8 mi
in the top 7.2% nationally
Lower is healthier
ST71stUS93rdDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Fine-particle (PM2.5) exceedance
1.4%
in the top 7.4% nationally
Lower is healthier
ST64thUS93rdDefinition & 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 ›The read
Overall, Oakley, Utah (ZIP 84055) places in the top 9.2% healthiest ZIPs nationally (2,922nd) and the top 10.3% of Utah (29th).
The measures land in both directions, and neither dominates: modeled obesity is in the bottom 1.5% nationally, and park land lands in the top 1.4% nationally. Modeled short sleep stands in the bottom 1.0% nationally, and air-toxics cancer risk registers in the bottom 2.8% nationally. Modeled humid heat settles in the bottom 4.4% nationally, and tree cover sits in the top 6.1% nationally. Pulling the other way, distance to an emergency room lies in the top 2.5% nationally, distance to a community health center rests in the top 4.1% nationally, and distance to a nursing home resides in the top 7.2% nationally. Modeled fine-particle is in the top 7.4% nationally.
Beside the areas that surround it, park land runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. 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 community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. Among nearby ZIPs, the nearest healthier one overall is ZIP 84036, 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.
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 89%
21%
Social Need / SDOH
healthier than 92%
16%
Environmental Hazard
healthier than 77%
14%
Risk Behavior
healthier than 99%
11%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 98%
5%
About typical
Preventive Care
healthier than 43%
13%
Mental Health
healthier than 51%
8%
Holding it back
Healthcare Access
healthier than 2%
5%
Lifting this score
Social Need / SDOH
healthier than 75%
16%
Environmental Hazard
healthier than 76%
14%
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 66%
11%
Mental Health
healthier than 87%
8%
Disability
healthier than 63%
7%
Climate / Disaster Risk
healthier than 93%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Holding it back
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
84017
Utahshares a border
Score 60.20
Closest healthier
84036
Utahshares a border
Score 64.98
Similar health profile
87525
New Mexico96% similar profile
Score 61.53
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 | 25.5% | 22.5–28.6 |
| High blood pressure among adults | 28.5% | 25.1–32.1 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.1–9.9 |
| Current asthma among adults | 10.7% | 9.4–12.1 |
| Coronary heart disease among adults | 5.4% | 4.6–6.1 |
| Chronic obstructive pulmonary disease among adults | 5.1% | 4.2–6.0 |
| Depression among adults | 24.5% | 21.1–28.1 |
| Diagnosed diabetes among adults | 9.0% | 7.7–10.6 |
| High cholesterol among adults who have ever been screened | 31.9% | 28.1–35.6 |
| Obesity among adults | 21.3% | 16.7–26.3 |
| Stroke among adults | 2.8% | 2.5–3.2 |
| All teeth lost among adults aged >=65 years | 9.2% | 7.4–11.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 6.6–10.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.9% | 67.1–74.3 |
| Visits to doctor for routine checkup within the past year among adults | 74.0% | 70.3–77.6 |
| Cholesterol screening among adults | 84.2% | 81.8–86.4 |
| Colorectal cancer screening among adults aged 45–75 years | 68.8% | 64.3–72.8 |
| Visited dentist or dental clinic in the past year among adults | 73.1% | 70.2–75.9 |
| Mammography use among women aged 50-74 years | 76.3% | 69.2–82.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.4% | 11.9–17.2 |
| Current cigarette smoking among adults | 8.7% | 6.9–10.9 |
| No leisure-time physical activity among adults | 16.6% | 13.3–20.3 |
| Short sleep duration among adults | 26.4% | 21.9–31.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.4% | 12.0–17.1 |
| Frequent mental distress among adults | 15.7% | 13.7–18.0 |
| Frequent physical distress among adults | 12.0% | 10.4–14.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.6% | 11.6–15.9 |
| Any disability among adults | 26.5% | 22.6–31.0 |
| Hearing disability among adults | 7.2% | 6.3–8.2 |
| Independent living disability among adults | 6.4% | 5.5–7.6 |
| Mobility disability among adults | 10.7% | 8.9–12.7 |
| Self-care disability among adults | 2.8% | 2.4–3.3 |
| Vision disability among adults | 3.7% | 3.2–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.5% | 15.4–21.6 |
| Food insecurity in the past 12 months among adults | 9.2% | 7.2–11.3 |
| Received food stamps in the past 12 months among adults | 4.7% | 3.5–6.0 |
| Housing insecurity in the past 12 months among adults | 8.0% | 6.5–9.6 |
| Lack of reliable transportation in the past 12 months among adults | 5.5% | 4.6–6.4 |
| Loneliness among adults | 29.3% | 25.0–33.8 |
| Utility services shut-off threat in the past 12 months among adults | 5.3% | 4.4–6.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | UT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.1% | 10.6% (3.1–25.8%) n=32,364 | 7.0% (1.0–21.5%) n=283 |
| Uninsured 18–64 | 8.4% | 9.0% (1.5–24.3%) n=32,286 | 10.1% (2.9–25.0%) n=281 |
| No HS diploma (25+) | 4.7% | 7.9% (1.8–20.7%) n=32,505 | 5.4% (0.0–15.0%) n=284 |
| Bachelor's or higher (25+) | 42.5% | 23.3% (9.2–53.6%) n=32,505 | 28.5% (10.8–53.1%) n=284 |
| Unemployment rate (16+) | 1.2% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.7%) n=281 |
| Households without a vehicle | 3.1% | 3.9% (0.0–12.5%) n=32,322 | 2.0% (0.0–7.7%) n=283 |
| Broadband subscription | 90.6% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (78.4–98.3%) n=283 |
| Housing cost burden (≥30% income) | 17.7% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.6–35.3%) n=283 |
| Homeownership rate | 91.5% | 78.7% (51.7–94.0%) n=32,322 | 81.5% (52.0–96.8%) n=283 |
| Crowded housing (>1 per room) | 3.1% | 1.3% (0.0–6.3%) n=32,322 | 2.0% (0.0–7.6%) n=283 |
| Foreign-born population | 3.6% | 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+ | 12.7% | 19.4% (10.8–33.6%) n=32,553 | 15.3% (7.9–29.1%) n=284 |
| Median age | 32.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.9 yr (27.6–52.1) n=283 |
| Median household income | $126,071 | $72,070 ($46,039–$118,707) n=30,318 | $82,344 ($52,938–$126,884) n=260 |
| Median home value | $677,000 | $222,200 ($100,300–$579,820) n=30,049 | $402,500 ($229,220–$651,780) n=259 |
| Median gross rent | $2,597 | $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 ± 1.24 | 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 1.24 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