ZIP code
96076
in Platina, CaliforniaPopulation 148
42.11/ 100
Ranked #25,123 of 32,066 US ZIPs (bottom 22%)
Ranked #1,424 of 1,719 California ZIPs (bottom 17%)
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.
Home broadband subscription
11.3%
in the bottom 0.4% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Fine-particle (PM2.5) exceedance
7.6%
in the top 0.4% nationally
Lower is healthier
ST95thUS99thDefinition & 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 ›Housing-cost burden
75.5%
in the top 0.6% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Lead in tap water
12 ppb
in the top 1.7% nationally
Lower is healthier
US98thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
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 ›Park land
51.2%
in the top 2.3% nationally
Higher is healthier
ST93rdUS98thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Industrial-pollution burden
in the bottom 3.1% nationally
Lower is healthier
ST8thUS3rdDefinition & 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 ›Slow internet speeds
3.3%
in the top 3.6% nationally
Lower is healthier
ST93rdUS96thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Distance to a hazardous-chemical facility
19.8 mi
in the top 4.9% nationally
Higher is healthier
ST95thUS95thDefinition & 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 ›Poverty rate
33.1%
in the top 5.2% nationally
Lower is healthier
ST95thUS95thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Walkability
1.9 intersections/sq mi
in the bottom 6.8% nationally
Higher is healthier
ST7thUS7thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›The read
Platina, California (ZIP 96076), on the composite measure, lands in the bottom 22% nationally (25,123rd) and the bottom 17% of California (1,424th).
Where this area is stretched, the data is unambiguous: modeled fine-particle lies in the top 0.4% nationally, housing-cost burden settles in the top 0.6% nationally, and lead in tap water stands in the top 1.7% nationally. Slow internet speeds is in the top 3.6% nationally, poverty rests in the top 5.2% nationally, and walkability sits in the bottom 6.8% nationally. Distance to a nursing home registers in the top 6.8% nationally. Better still, park land lands in the top 2.3% nationally, and modeled industrial-pollution burden resides in the bottom 3.1% nationally. Distance to a hazardous-chemical facility lies in the top 4.9% nationally.
Set against the neighboring ZIPs, home broadband subscription runs far lower than the surrounding ZIPs on this measure. In everyday language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. A healthier neighbor overall sits at ZIP 96022, 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.
Nothing measured is lifting this score.
About typical
Risk Behavior
healthier than 44%
11%
Climate / Disaster Risk
healthier than 54%
5%
Holding it back
Chronic Disease Burden
healthier than 28%
21%
Social Need / SDOH
healthier than 15%
16%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 33%
13%
Mental Health
healthier than 23%
8%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 9%
5%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 52%
14%
Preventive Care
healthier than 56%
13%
Climate / Disaster Risk
healthier than 41%
5%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Social Need / SDOH
healthier than 22%
16%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 18%
7%
Healthcare Access
healthier than 5%
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
96022
Californiashares a border
Score 46.29
Closest healthier
96047
Californiashares a border
Score 52.45
Similar health profile
96136
California98% similar profile
Score 36.98
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 | 31.7% | 29.1–34.2 |
| High blood pressure among adults | 40.7% | 37.3–43.7 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.5–11.0 |
| Current asthma among adults | 11.0% | 10.0–11.9 |
| Coronary heart disease among adults | 9.2% | 8.4–10.1 |
| Chronic obstructive pulmonary disease among adults | 10.2% | 9.1–11.5 |
| Depression among adults | 24.7% | 22.0–27.3 |
| Diagnosed diabetes among adults | 14.5% | 12.9–16.1 |
| High cholesterol among adults who have ever been screened | 40.3% | 37.1–43.5 |
| Obesity among adults | 33.0% | 27.5–38.5 |
| Stroke among adults | 5.0% | 4.5–5.4 |
| All teeth lost among adults aged >=65 years | 12.6% | 10.8–14.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.2% | 6.7–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.8% | 73.3–78.0 |
| Visits to doctor for routine checkup within the past year among adults | 75.0% | 72.1–77.6 |
| Cholesterol screening among adults | 86.3% | 84.7–87.9 |
| Colorectal cancer screening among adults aged 45–75 years | 63.4% | 59.8–67.0 |
| Visited dentist or dental clinic in the past year among adults | 58.1% | 55.3–60.8 |
| Mammography use among women aged 50-74 years | 75.5% | 70.4–80.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.6% | 12.7–16.7 |
| Current cigarette smoking among adults | 17.9% | 15.4–20.6 |
| No leisure-time physical activity among adults | 28.1% | 24.5–31.8 |
| Short sleep duration among adults | 35.9% | 31.3–40.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.9% | 24.3–30.0 |
| Frequent mental distress among adults | 19.0% | 17.2–20.7 |
| Frequent physical distress among adults | 17.5% | 15.9–19.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.9% | 15.1–18.8 |
| Any disability among adults | 37.9% | 34.4–41.6 |
| Hearing disability among adults | 9.3% | 8.4–10.2 |
| Independent living disability among adults | 11.2% | 10.1–12.5 |
| Mobility disability among adults | 20.2% | 18.1–22.3 |
| Self-care disability among adults | 5.6% | 5.0–6.2 |
| Vision disability among adults | 6.9% | 6.2–7.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.6% | 22.9–28.6 |
| Food insecurity in the past 12 months among adults | 18.9% | 16.3–21.7 |
| Received food stamps in the past 12 months among adults | 22.3% | 19.2–25.4 |
| Housing insecurity in the past 12 months among adults | 14.3% | 12.5–16.2 |
| Lack of reliable transportation in the past 12 months among adults | 10.1% | 8.9–11.3 |
| Loneliness among adults | 33.6% | 30.0–37.4 |
| Utility services shut-off threat in the past 12 months among adults | 9.2% | 8.1–10.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 33.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 13.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 3.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 19.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 10.6% | 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 | 11.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 75.5% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 75.5% | 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 | 41.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 43.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 56.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $29,156 | $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 | 80.1 yr ± 0.82 | 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 0.82 years of 80.1, 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