ZIP code
96063
in Mineral, CaliforniaPopulation 133
46.64/ 100
Ranked #20,598 of 32,066 US ZIPs (bottom 36%)
Ranked #1,252 of 1,719 California ZIPs (bottom 27%)
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.
Homeownership rate
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›PFAS in drinking water
4.2%
in the bottom 0.5% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Poverty rate
60.9%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Fine-particle (PM2.5) exceedance
5.2%
in the top 1.0% nationally
Lower is healthier
ST88thUS99thDefinition & 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 ›Industrial-pollution burden
in the bottom 1.7% nationally
Lower is healthier
ST5thUS2ndDefinition & 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 ›Park land
58.7%
in the top 1.7% nationally
Higher is healthier
ST95thUS98thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Distance to a hazardous-chemical facility
31.9 mi
in the top 1.7% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Distance to a nursing home
16.9 mi
in the top 4.5% nationally
Lower is healthier
ST94thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›The read
On balance, and by the composite measure, Mineral, California (ZIP 96063) ranks in the bottom 36% nationally (20,598th) and the bottom 27% of California (1,252nd).
The measures that press hardest set the tone here: homeownership settles at the national minimum, and poverty lies in the top 0.9% nationally. Modeled fine-particle resides in the top 1.0% nationally, and distance to a nursing home lands in the top 4.5% nationally. On the stronger side, modeled pfas registers in the bottom 0.5% nationally, modeled industrial-pollution burden sits in the bottom 1.7% nationally, and park land rests in the top 1.7% nationally. Distance to a hazardous-chemical facility is in the top 1.7% nationally, home broadband subscription stands at the national maximum, and floodplain exposure settles at the national minimum.
Compared with the ZIPs it borders, park land runs far higher than the surrounding ZIPs on this measure. In plainer terms, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier nearby ZIP overall, look to ZIP 96088, about 6.2 miles away.
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
Risk Behavior
healthier than 62%
11%
About typical
Social Need / SDOH
healthier than 54%
16%
Preventive Care
healthier than 50%
13%
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Environmental Hazard
healthier than 28%
14%
Mental Health
healthier than 35%
8%
Disability
healthier than 29%
7%
Healthcare Access
healthier than 6%
5%
Lifting this score
Preventive Care
healthier than 70%
13%
About typical
Social Need / SDOH
healthier than 53%
16%
Environmental Hazard
healthier than 60%
14%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Risk Behavior
healthier than 38%
11%
Mental Health
healthier than 24%
8%
Disability
healthier than 28%
7%
Climate / Disaster Risk
healthier than 37%
5%
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
96061
Californiashares a border
Score 44.11
Closest healthier
96088
Californiaabout 6.2 mi away
Score 49.48
Similar health profile
97731
Oregon92% similar profile
Score 38.68
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 | 32.9% | 29.1–36.6 |
| High blood pressure among adults | 39.9% | 35.2–44.4 |
| Cancer (non-skin) or melanoma among adults | 11.6% | 10.2–13.0 |
| Current asthma among adults | 10.8% | 9.4–12.2 |
| Coronary heart disease among adults | 9.0% | 7.7–10.5 |
| Chronic obstructive pulmonary disease among adults | 10.0% | 8.0–12.3 |
| Depression among adults | 24.3% | 20.5–28.2 |
| Diagnosed diabetes among adults | 13.5% | 11.4–15.8 |
| High cholesterol among adults who have ever been screened | 39.9% | 35.4–44.6 |
| Obesity among adults | 30.8% | 23.4–39.0 |
| Stroke among adults | 4.8% | 4.0–5.6 |
| All teeth lost among adults aged >=65 years | 13.8% | 11.0–17.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.8% | 5.3–11.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.9% | 73.7–79.9 |
| Visits to doctor for routine checkup within the past year among adults | 74.4% | 70.5–78.4 |
| Cholesterol screening among adults | 86.2% | 82.8–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 70.0% | 64.6–75.0 |
| Visited dentist or dental clinic in the past year among adults | 61.8% | 57.8–65.6 |
| Mammography use among women aged 50-74 years | 76.5% | 68.3–83.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.6% | 12.8–18.9 |
| Current cigarette smoking among adults | 15.5% | 12.0–19.2 |
| No leisure-time physical activity among adults | 25.3% | 19.8–31.1 |
| Short sleep duration among adults | 33.7% | 27.0–40.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.5% | 19.9–29.3 |
| Frequent mental distress among adults | 17.7% | 15.0–20.3 |
| Frequent physical distress among adults | 16.7% | 14.1–19.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.7% | 12.7–18.9 |
| Any disability among adults | 36.2% | 30.3–42.2 |
| Hearing disability among adults | 9.0% | 7.8–10.4 |
| Independent living disability among adults | 9.9% | 8.1–11.9 |
| Mobility disability among adults | 19.1% | 15.6–22.8 |
| Self-care disability among adults | 4.8% | 3.9–5.8 |
| Vision disability among adults | 5.8% | 4.8–6.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.0% | 19.7–28.6 |
| Food insecurity in the past 12 months among adults | 14.5% | 10.7–18.7 |
| Received food stamps in the past 12 months among adults | 15.8% | 11.8–20.1 |
| Housing insecurity in the past 12 months among adults | 10.9% | 8.5–13.5 |
| Lack of reliable transportation in the past 12 months among adults | 8.2% | 6.5–10.1 |
| Loneliness among adults | 33.2% | 27.4–39.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.6% | 5.3–8.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 60.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 35.7% | 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 | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 16.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 0.0% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 17.3% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 83.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 60.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 66.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | — | $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 | 75.5 yr ± 1.30 | 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 1.30 years of 75.5, 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