ZIP code
84070
in Sandy, UtahPopulation 30,472
53.21/ 100
Ranked #11,772 of 32,066 US ZIPs (top 37%)
Ranked #176 of 284 Utah ZIPs (bottom 38%)
Ranked #30 of 43 Salt Lake City-Murray, UT ZIPs (bottom 30%)
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.
Industrial-pollution burden
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & 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
53.7 per million
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Expected annual disaster loss
$1
in the top 2.0% nationally
Lower is healthier
ST91stUS98thDefinition & 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 ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›High cholesterol
30.4%
in the bottom 3.9% nationally
Lower is healthier
ST19thUS4thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Fine-particle (PM2.5) exceedance
1.6%
in the top 5.8% nationally
Lower is healthier
ST76thUS94thDefinition & 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 ›Recreation access
1.2 per 1,000 residents
in the top 6.4% nationally
Higher is healthier
ST94thUS94thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›High blood pressure
27.6%
in the bottom 5.4% nationally
Lower is healthier
ST24thUS5thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Walkability
120 intersections/sq mi
in the top 7.8% nationally
Higher is healthier
ST96thUS92ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Coronary heart disease
4.6%
in the bottom 6.3% nationally
Lower is healthier
ST21stUS6thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›The read
By its overall health score, ZIP 84070, one of several in Sandy, Utah lands in the top 37% healthiest ZIPs nationally (11,772nd) and the bottom 38% of Utah (176th).
The measures split the difference for this area: modeled high cholesterol lands in the bottom 3.9% nationally, and recreation registers in the top 6.4% nationally. Modeled high blood pressure sits in the bottom 5.4% nationally, and walkability rests in the top 7.8% nationally. Modeled coronary heart disease is in the bottom 6.3% nationally. Against that, modeled industrial-pollution burden stands in the top 0.5% nationally, air-toxics cancer risk settles in the top 0.5% nationally, and expected annual loss lies in the top 2.0% nationally. Modeled tree cover resides at the national minimum, and fine-particle lands in the top 5.8% nationally.
Weighed against the ZIPs nearby, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, 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. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Overall, the nearest healthier neighbor is ZIP 84020, 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 90%
21%
Social Need / SDOH
healthier than 83%
16%
Risk Behavior
healthier than 87%
11%
Disability
healthier than 75%
7%
Climate / Disaster Risk
healthier than 93%
5%
Healthcare Access
healthier than 91%
5%
Holding it back
Environmental Hazard
in the bottom 0.4%
14%
Preventive Care
healthier than 11%
13%
Mental Health
healthier than 13%
8%
Lifting this score
Healthcare Access
healthier than 95%
5%
About typical
Chronic Disease Burden
healthier than 59%
21%
Social Need / SDOH
healthier than 54%
16%
Disability
healthier than 54%
7%
Climate / Disaster Risk
healthier than 52%
5%
Holding it back
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 23%
8%
Lifting this score
Healthcare Access
healthier than 98%
5%
About typical
Social Need / SDOH
healthier than 44%
16%
Preventive Care
healthier than 54%
13%
Risk Behavior
healthier than 51%
11%
Mental Health
healthier than 41%
8%
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Environmental Hazard
in the bottom 0.00%
14%
Disability
healthier than 34%
7%
“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
3 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 78.0 ± 1.0 years. A median household income of $78,991 predicts 79.1 years — 1.2 years below.
Ranked #1,524 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 0.4 (bottom 1%); chronic-disease standing 89.7 — 89 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,833 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 53.7 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 78.0 ± 1.0 years.
Ranked #76 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
84020
Utahshares a border
Score 62.09
Closest healthier
84047
Utahshares a border
Score 54.48
Similar health profile
97015
Oregon98% similar profile
Score 53.14
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 | 21.6% | 19.9–23.2 |
| High blood pressure among adults | 27.6% | 25.5–29.6 |
| Cancer (non-skin) or melanoma among adults | 7.1% | 6.6–7.7 |
| Current asthma among adults | 11.2% | 10.1–12.3 |
| Coronary heart disease among adults | 4.6% | 4.2–5.1 |
| Chronic obstructive pulmonary disease among adults | 4.7% | 4.2–5.3 |
| Depression among adults | 28.6% | 26.2–31.0 |
| Diagnosed diabetes among adults | 8.5% | 7.6–9.4 |
| High cholesterol among adults who have ever been screened | 30.4% | 28.1–32.5 |
| Obesity among adults | 29.9% | 26.7–33.1 |
| Stroke among adults | 2.6% | 2.4–2.8 |
| All teeth lost among adults aged >=65 years | 13.4% | 11.2–15.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.7% | 10.3–13.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 65.9% | 63.3–68.2 |
| Visits to doctor for routine checkup within the past year among adults | 68.9% | 66.2–71.4 |
| Cholesterol screening among adults | 80.6% | 78.8–82.3 |
| Colorectal cancer screening among adults aged 45–75 years | 65.5% | 62.4–68.6 |
| Visited dentist or dental clinic in the past year among adults | 67.7% | 65.2–70.3 |
| Mammography use among women aged 50-74 years | 72.9% | 67.9–77.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.5% | 13.7–17.4 |
| Current cigarette smoking among adults | 8.6% | 7.5–9.7 |
| No leisure-time physical activity among adults | 19.2% | 17.2–21.4 |
| Short sleep duration among adults | 35.2% | 32.1–38.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.6% | 15.1–18.2 |
| Frequent mental distress among adults | 18.2% | 16.7–19.8 |
| Frequent physical distress among adults | 12.8% | 11.6–14.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 14.1–17.0 |
| Any disability among adults | 29.2% | 26.9–31.6 |
| Hearing disability among adults | 6.4% | 5.8–7.1 |
| Independent living disability among adults | 7.1% | 6.4–7.8 |
| Mobility disability among adults | 11.1% | 10.0–12.3 |
| Self-care disability among adults | 2.8% | 2.6–3.1 |
| Vision disability among adults | 4.4% | 4.0–4.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.9% | 20.8–25.1 |
| Food insecurity in the past 12 months among adults | 14.6% | 13.0–16.3 |
| Received food stamps in the past 12 months among adults | 7.0% | 6.0–8.1 |
| Housing insecurity in the past 12 months among adults | 11.4% | 10.2–12.9 |
| Lack of reliable transportation in the past 12 months among adults | 7.6% | 6.8–8.5 |
| Loneliness among adults | 36.4% | 33.6–39.0 |
| Utility services shut-off threat in the past 12 months among adults | 7.3% | 6.5–8.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | UT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.9% | 10.6% (3.1–25.8%) n=32,364 | 7.0% (1.0–21.5%) n=283 |
| Uninsured 18–64 | 11.5% | 9.0% (1.5–24.3%) n=32,286 | 10.1% (2.9–25.0%) n=281 |
| No HS diploma (25+) | 5.6% | 7.9% (1.8–20.7%) n=32,505 | 5.4% (0.0–15.0%) n=284 |
| Bachelor's or higher (25+) | 35.6% | 23.3% (9.2–53.6%) n=32,505 | 28.5% (10.8–53.1%) n=284 |
| Unemployment rate (16+) | 2.9% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.7%) n=281 |
| Households without a vehicle | 3.8% | 3.9% (0.0–12.5%) n=32,322 | 2.0% (0.0–7.7%) n=283 |
| Broadband subscription | 90.5% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (78.4–98.3%) n=283 |
| Housing cost burden (≥30% income) | 35.4% | 23.7% (10.6–40.0%) n=32,322 | 21.1% (7.6–35.3%) n=283 |
| Homeownership rate | 56.7% | 78.7% (51.7–94.0%) n=32,322 | 81.5% (52.0–96.8%) n=283 |
| Crowded housing (>1 per room) | 2.2% | 1.3% (0.0–6.3%) n=32,322 | 2.0% (0.0–7.6%) n=283 |
| Foreign-born population | 14.6% | 2.6% (0.0–18.6%) n=32,553 | 3.2% (0.0–11.8%) n=284 |
| Single-parent households | 40.2% | 53.6% (37.3–74.1%) n=32,087 | 49.8% (37.3–72.7%) n=281 |
| Population 65+ | 11.9% | 19.4% (10.8–33.6%) n=32,553 | 15.3% (7.9–29.1%) n=284 |
| Median age | 32.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 35.9 yr (27.6–52.1) n=283 |
| Median household income | $78,991 | $72,070 ($46,039–$118,707) n=30,318 | $82,344 ($52,938–$126,884) n=260 |
| Median home value | $461,900 | $222,200 ($100,300–$579,820) n=30,049 | $402,500 ($229,220–$651,780) n=259 |
| Median gross rent | $1,692 | $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 | 78.0 yr ± 0.51 | 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 0.51 years of 78.0, 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