ZIP code
96103
in Blairsden Graeagle, CaliforniaPopulation 1,112
52.22/ 100
Ranked #13,161 of 32,066 US ZIPs (top 41%)
Ranked #930 of 1,719 California ZIPs (bottom 46%)
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.
Fine-particle (PM2.5) exceedance
5.5%
in the top 0.9% nationally
Lower is healthier
ST89thUS99thDefinition & 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 1.5% nationally
Lower is healthier
ST5thUS1stDefinition & 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
57.3%
in the top 1.9% nationally
Higher is healthier
ST94thUS98thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Distance to a hazardous-chemical facility
30.6 mi
in the top 1.9% 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 ›Recreation access
1.9 per 1,000 residents
in the top 1.9% nationally
Higher is healthier
ST96thUS98thDefinition & 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 ›Fatal road crashes
54 per 100,000 residents per year
in the top 3.1% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›High cholesterol
45.7%
in the top 3.2% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Tree cover
80.1%
in the top 4.9% nationally
Higher is healthier
ST97thUS95thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Coronary heart disease
10.8%
in the top 5.1% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Homeownership rate
95.6%
in the top 7.9% nationally
Higher is healthier
ST96thUS92ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
Blairsden Graeagle, California (ZIP 96103), overall, ranks in the top 41% healthiest ZIPs nationally (13,161st) and the bottom 46% of California (930th).
Reading the numbers as a whole, the picture lands somewhere in between: modeled industrial-pollution burden resides in the bottom 1.5% nationally, park land settles in the top 1.9% nationally, and distance to a hazardous-chemical facility is in the top 1.9% nationally. Recreation sits in the top 1.9% nationally, modeled tree cover lands in the top 4.9% nationally, and homeownership lies in the top 7.9% nationally. On the other side, modeled fine-particle stands in the top 0.9% nationally, and fatal road crashes rests in the top 3.1% nationally. Modeled high cholesterol registers in the top 3.2% nationally, and coronary heart disease resides in the top 5.1% nationally.
Measured against the nearby ZIPs, park land runs far higher than the surrounding ZIPs on this measure. Defined simply, 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. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. ZIP 95959, about 13 miles away, comes out 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
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 77%
8%
Climate / Disaster Risk
healthier than 95%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Environmental Hazard
healthier than 25%
14%
Disability
healthier than 32%
7%
Healthcare Access
healthier than 19%
5%
Lifting this score
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 84%
11%
Mental Health
healthier than 74%
8%
Climate / Disaster Risk
healthier than 90%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Environmental Hazard
healthier than 56%
14%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Disability
healthier than 31%
7%
Healthcare Access
healthier than 12%
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
95971
Californiashares a border
Score 50.65
Closest healthier
95959
Californiaabout 13 mi away
Score 56.20
Similar health profile
59826
Montana96% similar profile
Score 52.39
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 | 38.1% | 33.8–42.3 |
| High blood pressure among adults | 45.9% | 40.8–50.5 |
| Cancer (non-skin) or melanoma among adults | 14.6% | 13.2–16.0 |
| Current asthma among adults | 10.4% | 9.2–11.6 |
| Coronary heart disease among adults | 10.8% | 9.6–12.1 |
| Chronic obstructive pulmonary disease among adults | 9.7% | 8.4–11.1 |
| Depression among adults | 21.9% | 18.5–25.4 |
| Diagnosed diabetes among adults | 15.4% | 13.2–17.6 |
| High cholesterol among adults who have ever been screened | 45.7% | 40.7–50.7 |
| Obesity among adults | 29.8% | 22.6–37.7 |
| Stroke among adults | 5.3% | 4.7–5.8 |
| All teeth lost among adults aged >=65 years | 8.2% | 6.5–10.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.9% | 4.2–5.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.0% | 78.7–84.8 |
| Visits to doctor for routine checkup within the past year among adults | 81.0% | 77.7–84.0 |
| Cholesterol screening among adults | 92.2% | 91.1–93.2 |
| Colorectal cancer screening among adults aged 45–75 years | 73.6% | 68.5–78.2 |
| Visited dentist or dental clinic in the past year among adults | 67.2% | 63.5–70.7 |
| Mammography use among women aged 50-74 years | 76.6% | 68.4–83.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.2% | 9.9–14.7 |
| Current cigarette smoking among adults | 12.3% | 10.3–14.3 |
| No leisure-time physical activity among adults | 24.2% | 19.6–28.7 |
| Short sleep duration among adults | 30.1% | 23.8–36.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.8% | 19.6–25.9 |
| Frequent mental distress among adults | 14.5% | 12.7–16.3 |
| Frequent physical distress among adults | 16.5% | 14.4–18.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.5% | 10.9–14.1 |
| Any disability among adults | 36.9% | 31.9–41.5 |
| Hearing disability among adults | 10.7% | 9.4–11.9 |
| Independent living disability among adults | 8.9% | 7.7–10.0 |
| Mobility disability among adults | 20.3% | 17.4–23.0 |
| Self-care disability among adults | 4.8% | 4.2–5.3 |
| Vision disability among adults | 5.5% | 4.9–6.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.2% | 17.9–24.5 |
| Food insecurity in the past 12 months among adults | 10.2% | 8.6–12.1 |
| Received food stamps in the past 12 months among adults | 11.0% | 9.2–13.0 |
| Housing insecurity in the past 12 months among adults | 7.8% | 6.5–9.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.0% | 5.2–6.8 |
| Loneliness among adults | 30.2% | 25.2–35.1 |
| Utility services shut-off threat in the past 12 months among adults | 4.9% | 4.2–5.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.8% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 4.3% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 1.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 28.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.5% | 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 | 91.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 28.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 95.6% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 1.9% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 79.5% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 56.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 67.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $82,589 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $469,400 | $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 | 80.0 yr ± 2.28 | 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 2.28 years of 80.0, 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