ZIP code
92328
in Death Valley, CaliforniaPopulation 725
51.11/ 100
Ranked #14,662 of 32,066 US ZIPs (top 46%)
Ranked #993 of 1,719 California ZIPs (bottom 42%)
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.
Walkability
0.22 intersections/sq mi
in the bottom 0.6% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Slow internet speeds
11.3%
in the top 1.3% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Homeownership rate
13.6%
in the bottom 1.6% nationally
Higher is healthier
ST4thUS2ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Binge drinking
20.7%
in the top 3.9% nationally
Lower is healthier
ST98thUS96thDefinition & 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 ›Housing-cost burden
1.7%
in the bottom 3.9% nationally
Lower is healthier
ST3rdUS4thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Distance to a nursing home
17.6 mi
in the top 4.2% nationally
Lower is healthier
ST95thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›High cholesterol
30.6%
in the bottom 4.1% nationally
Lower is healthier
ST5thUS4thDefinition & 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 5.6% nationally
Lower is healthier
ST61stUS94thDefinition & 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 ›Air-toxics cancer risk
13.6 per million
in the bottom 5.9% nationally
Lower is healthier
ST1stUS6thDefinition & 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 blood pressure
27.5%
in the bottom 5.3% nationally
Lower is healthier
ST14thUS5thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›The read
By the composite measure, Death Valley, California (ZIP 92328) sits in the top 46% healthiest ZIPs nationally (14,662nd) and the bottom 42% of California (993rd).
Where the data speaks clearest about this place, it leads: walkability is in the bottom 0.6% nationally, slow internet speeds rests in the top 1.3% nationally, and homeownership sits in the bottom 1.6% nationally. Modeled binge drinking registers in the top 3.9% nationally, distance to a nursing home lands in the top 4.2% nationally, and modeled fine-particle resides in the top 5.6% nationally. Better still, housing-cost burden lies in the bottom 3.9% nationally, and modeled high cholesterol settles in the bottom 4.1% nationally. Modeled air-toxics cancer risk stands in the bottom 5.9% nationally, and high blood pressure is in the bottom 5.3% nationally.
Compared with the ZIPs that surround it, slow internet speeds runs far higher than the surrounding ZIPs on this measure. In plain language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. ZIP 92310, about 30 miles away, ranks healthier overall.
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 92%
21%
Environmental Hazard
healthier than 95%
14%
Disability
healthier than 63%
7%
About typical
Risk Behavior
healthier than 44%
11%
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Social Need / SDOH
healthier than 12%
16%
Preventive Care
healthier than 8%
13%
Mental Health
healthier than 17%
8%
Healthcare Access
healthier than 12%
5%
Lifting this score
Chronic Disease Burden
healthier than 76%
21%
Environmental Hazard
healthier than 95%
14%
About typical
Disability
healthier than 59%
7%
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Social Need / SDOH
healthier than 18%
16%
Preventive Care
healthier than 25%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 9%
8%
Healthcare Access
healthier than 7%
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
89020
Nevadashares a border
Score 33.67
Closest healthier
92310
Californiaabout 30 mi away
Score 52.41
Similar health profile
79016
Texas97% similar profile
Score 55.37
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 | 19.7% | 17.0–22.4 |
| High blood pressure among adults | 27.5% | 23.8–31.4 |
| Cancer (non-skin) or melanoma among adults | 5.8% | 5.2–6.4 |
| Current asthma among adults | 10.2% | 9.0–11.6 |
| Coronary heart disease among adults | 4.9% | 4.3–5.5 |
| Chronic obstructive pulmonary disease among adults | 5.6% | 4.8–6.5 |
| Depression among adults | 24.7% | 21.0–28.8 |
| Diagnosed diabetes among adults | 9.4% | 8.1–10.8 |
| High cholesterol among adults who have ever been screened | 30.6% | 26.6–34.8 |
| Obesity among adults | 29.8% | 22.5–37.9 |
| Stroke among adults | 2.7% | 2.5–3.0 |
| All teeth lost among adults aged >=65 years | 11.5% | 9.2–14.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.7% | 7.1–10.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 64.7% | 60.9–68.2 |
| Visits to doctor for routine checkup within the past year among adults | 67.3% | 62.5–71.7 |
| Cholesterol screening among adults | 80.8% | 77.9–83.5 |
| Colorectal cancer screening among adults aged 45–75 years | 60.2% | 54.7–65.4 |
| Visited dentist or dental clinic in the past year among adults | 63.6% | 59.9–67.1 |
| Mammography use among women aged 50-74 years | 72.3% | 63.8–79.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.7% | 17.0–24.6 |
| Current cigarette smoking among adults | 14.3% | 11.8–17.2 |
| No leisure-time physical activity among adults | 21.6% | 17.7–26.1 |
| Short sleep duration among adults | 33.9% | 27.2–41.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.8% | 17.9–24.1 |
| Frequent mental distress among adults | 20.0% | 17.6–22.5 |
| Frequent physical distress among adults | 13.5% | 11.8–15.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.0% | 14.8–19.5 |
| Any disability among adults | 31.1% | 26.7–36.0 |
| Hearing disability among adults | 5.4% | 4.7–6.1 |
| Independent living disability among adults | 8.6% | 7.5–9.9 |
| Mobility disability among adults | 11.7% | 10.1–13.4 |
| Self-care disability among adults | 3.7% | 3.2–4.2 |
| Vision disability among adults | 4.9% | 4.4–5.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.6% | 22.5–30.8 |
| Food insecurity in the past 12 months among adults | 16.3% | 13.4–19.4 |
| Received food stamps in the past 12 months among adults | 15.8% | 13.1–18.9 |
| Housing insecurity in the past 12 months among adults | 14.1% | 11.7–16.6 |
| Lack of reliable transportation in the past 12 months among adults | 9.7% | 8.3–11.2 |
| Loneliness among adults | 36.1% | 30.5–41.8 |
| Utility services shut-off threat in the past 12 months among adults | 8.0% | 6.8–9.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 6.8% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 1.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 53.5% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 2.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 77.8% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 1.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 13.6% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 6.6% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 6.3% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 88.5% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 23.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 43.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $94,375 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $77,800 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,001 | $1,021 ($677–$1,912) n=25,670 | $1,912 ($1,113–$2,923) n=1,461 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 78.9 yr ± 1.13 | 78.9 yr (74.7–82.8) n=31,308 | 80.5 yr (76.7–83.8) n=1,665 |
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 1.13 years of 78.9, 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