ZIP code
84105
in Salt Lake City, UtahPopulation 23,491
61.52/ 100
Ranked #3,795 of 32,066 US ZIPs (top 11.9%)
Ranked #50 of 284 Utah ZIPs (top 18%)
Ranked #9 of 43 Salt Lake City-Murray, UT ZIPs (top 21%)
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.
Expected annual disaster loss
$1
in the top 0.3% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›High cholesterol
28.4%
in the bottom 2.2% nationally
Lower is healthier
ST7thUS2ndDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›PFOS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents served by public water systems where PFOS, one of the most common “forever chemicals,” was detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›High blood pressure
24.1%
in the bottom 2.3% nationally
Lower is healthier
ST5thUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Coronary heart disease
3.5%
in the bottom 2.1% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Diabetes
6.6%
in the bottom 2.0% nationally
Lower is healthier
ST4thUS2ndDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Stroke
1.9%
in the bottom 2.0% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Transit access
6.1 per 1,000 residents
in the top 3.5% nationally
Higher is healthier
ST99thUS97thDefinition & source ›
The number of public-transit stops 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 ›Fine-particle (PM2.5) exceedance
2.2%
in the top 4.0% nationally
Lower is healthier
ST93rdUS96thDefinition & 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 ›Distance to a Superfund site
0.2 mi
in the bottom 4.3% nationally
Higher is healthier
ST6thUS4thDefinition & 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 ›The read
ZIP 84105, one of several in Salt Lake City, Utah, on the composite measure, lands in the top 11.9% healthiest ZIPs nationally (3,795th) and the top 18% of Utah (50th).
The readings split fairly evenly between strengths and concerns: modeled high cholesterol resides in the bottom 2.2% nationally, high blood pressure lies in the bottom 2.3% nationally, and coronary heart disease settles in the bottom 2.1% nationally. Modeled diabetes stands in the bottom 2.0% nationally, modeled stroke is in the bottom 2.0% nationally, and transit rests in the top 3.5% nationally. Working the other way, modeled expected annual loss sits in the top 0.3% nationally, and PFOS in drinking water registers at the national maximum. Modeled fine-particle lands in the top 4.0% nationally, and distance to a Superfund site resides in the bottom 4.3% nationally.
Set against the neighboring ZIPs, expected annual loss runs far higher than the surrounding ZIPs on this measure. In everyday language, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. PFOS in drinking water is a common one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. A healthier neighbor overall sits at ZIP 84108, 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 Salt Lake City-Murray, 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 97%
21%
Social Need / SDOH
healthier than 93%
16%
Risk Behavior
healthier than 95%
11%
Disability
healthier than 94%
7%
Climate / Disaster Risk
healthier than 82%
5%
Healthcare Access
healthier than 75%
5%
Holding it back
Environmental Hazard
healthier than 6%
14%
Preventive Care
healthier than 21%
13%
Mental Health
healthier than 15%
8%
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Social Need / SDOH
healthier than 80%
16%
Disability
healthier than 97%
7%
Healthcare Access
healthier than 79%
5%
About typical
Preventive Care
healthier than 55%
13%
Risk Behavior
healthier than 47%
11%
Holding it back
Environmental Hazard
healthier than 14%
14%
Mental Health
healthier than 30%
8%
Climate / Disaster Risk
healthier than 32%
5%
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Social Need / SDOH
healthier than 63%
16%
Preventive Care
healthier than 68%
13%
Risk Behavior
healthier than 78%
11%
Disability
healthier than 98%
7%
About typical
Environmental Hazard
healthier than 49%
14%
Mental Health
healthier than 56%
8%
Healthcare Access
healthier than 54%
5%
Holding it back
Climate / Disaster Risk
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 ›
Findings that name this ZIP
2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 78.1 ± 1.0 years. A median household income of $99,562 predicts 80.1 years — 2.0 years below.
Ranked #2,579 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 6.6 (bottom 10%); chronic-disease standing 96.8 (top 10%) — 90 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,893 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
84102
Utahshares a border
Score 54.21
Closest healthier
84108
Utahshares a border
Score 64.90
Similar health profile
97062
Oregon97% similar profile
Score 58.15
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 | 19.1% | 17.5–20.7 |
| High blood pressure among adults | 24.1% | 22.2–26.1 |
| Cancer (non-skin) or melanoma among adults | 6.7% | 6.2–7.3 |
| Current asthma among adults | 11.1% | 10.0–12.2 |
| Coronary heart disease among adults | 3.5% | 3.2–3.9 |
| Chronic obstructive pulmonary disease among adults | 3.5% | 3.1–4.0 |
| Depression among adults | 29.4% | 26.8–31.8 |
| Diagnosed diabetes among adults | 6.6% | 5.8–7.3 |
| High cholesterol among adults who have ever been screened | 28.4% | 26.1–30.5 |
| Obesity among adults | 27.7% | 24.6–30.8 |
| Stroke among adults | 1.9% | 1.8–2.1 |
| All teeth lost among adults aged >=65 years | 7.1% | 5.9–8.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.5% | 6.5–8.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 63.1% | 60.3–65.7 |
| Visits to doctor for routine checkup within the past year among adults | 69.0% | 66.2–71.4 |
| Cholesterol screening among adults | 82.0% | 80.0–83.6 |
| Colorectal cancer screening among adults aged 45–75 years | 67.7% | 64.7–70.7 |
| Visited dentist or dental clinic in the past year among adults | 74.8% | 72.7–77.0 |
| Mammography use among women aged 50-74 years | 75.5% | 70.6–79.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.0% | 15.0–19.0 |
| Current cigarette smoking among adults | 6.5% | 5.6–7.6 |
| No leisure-time physical activity among adults | 14.0% | 12.3–15.8 |
| Short sleep duration among adults | 32.2% | 29.2–35.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.4% | 11.1–13.8 |
| Frequent mental distress among adults | 17.0% | 15.4–18.6 |
| Frequent physical distress among adults | 10.5% | 9.5–11.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.1% | 11.7–14.6 |
| Any disability among adults | 23.8% | 21.6–26.2 |
| Hearing disability among adults | 5.0% | 4.5–5.5 |
| Independent living disability among adults | 5.5% | 4.9–6.2 |
| Mobility disability among adults | 8.0% | 7.1–8.9 |
| Self-care disability among adults | 2.1% | 1.9–2.3 |
| Vision disability among adults | 3.1% | 2.8–3.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.5% | 17.5–21.7 |
| Food insecurity in the past 12 months among adults | 9.7% | 8.5–11.1 |
| Received food stamps in the past 12 months among adults | 4.5% | 3.8–5.4 |
| Housing insecurity in the past 12 months among adults | 8.2% | 7.2–9.4 |
| Lack of reliable transportation in the past 12 months among adults | 5.8% | 5.1–6.6 |
| Loneliness among adults | 34.3% | 31.5–37.0 |
| Utility services shut-off threat in the past 12 months among adults | 5.6% | 4.9–6.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | UT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.8% | 10.6% (3.1–25.8%) n=32,364 | 7.0% (1.0–21.5%) n=283 |
| Uninsured 18–64 | 6.6% | 9.0% (1.5–24.3%) n=32,286 | 10.1% (2.9–25.0%) n=281 |
| No HS diploma (25+) | 3.3% | 7.9% (1.8–20.7%) n=32,505 | 5.4% (0.0–15.0%) n=284 |
| Bachelor's or higher (25+) | 66.0% | 23.3% (9.2–53.6%) n=32,505 | 28.5% (10.8–53.1%) n=284 |
| Unemployment rate (16+) | 3.0% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.7%) n=281 |
| Households without a vehicle | 5.7% | 3.9% (0.0–12.5%) n=32,322 | 2.0% (0.0–7.7%) n=283 |
| Broadband subscription | 95.0% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (78.4–98.3%) n=283 |
| Housing cost burden (≥30% income) | 24.6% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.6–35.3%) n=283 |
| Homeownership rate | 59.3% | 78.7% (51.7–94.0%) n=32,322 | 81.5% (52.0–96.8%) n=283 |
| Crowded housing (>1 per room) | 1.2% | 1.3% (0.0–6.3%) n=32,322 | 2.0% (0.0–7.6%) n=283 |
| Foreign-born population | 8.6% | 2.6% (0.0–18.6%) n=32,553 | 3.2% (0.0–11.8%) n=284 |
| Single-parent households | 50.0% | 53.6% (37.3–74.1%) n=32,087 | 49.8% (37.3–72.7%) n=281 |
| Population 65+ | 12.0% | 19.4% (10.8–33.6%) n=32,553 | 15.3% (7.9–29.1%) n=284 |
| Median age | 35.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.9 yr (27.6–52.1) n=283 |
| Median household income | $99,562 | $72,070 ($46,039–$118,707) n=30,318 | $82,344 ($52,938–$126,884) n=260 |
| Median home value | $686,100 | $222,200 ($100,300–$579,820) n=30,049 | $402,500 ($229,220–$651,780) n=259 |
| Median gross rent | $1,586 | $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 | 78.1 yr ± 0.53 | 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 0.53 years of 78.1, 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