ZIP code
95962
in Oregon House, CaliforniaPopulation 1,110
52.00/ 100
Ranked #13,452 of 32,066 US ZIPs (top 42%)
Ranked #949 of 1,719 California ZIPs (bottom 45%)
Ranked #3 of 19 Yuba City, CA ZIPs (top 16%)
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
4.1%
in the top 1.4% nationally
Lower is healthier
ST84thUS99thDefinition & 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
41.6 per million
in the top 1.8% nationally
Lower is healthier
ST87thUS98thDefinition & 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 ›Industrial-pollution burden
in the bottom 2.1% nationally
Lower is healthier
ST6thUS2ndDefinition & 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 ›Poverty rate
1.1%
in the bottom 5.3% nationally
Lower is healthier
ST5thUS5thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Dry extreme heat
53.9 days/year
in the top 8.3% nationally
Lower is healthier
ST75thUS92ndDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Short sleep
30.1%
in the bottom 10.1% nationally
Lower is healthier
ST10thUS10thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Tree cover
67.8%
in the top 10.3% nationally
Higher is healthier
ST93rdUS90thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Transportation noise
0.61%
in the bottom 17% nationally
Lower is healthier
ST9thUS17thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Uninsured (under 65)
5.3%
in the bottom 8.3% nationally
Lower is healthier
ST19thUS8thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›High cholesterol
42.2%
in the top 14.7% nationally
Lower is healthier
ST93rdUS85thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›The read
By the composite measure, Oregon House, California (ZIP 95962) sits in the top 42% healthiest ZIPs nationally (13,452nd) and the bottom 45% of California (949th).
The profile cuts both ways, and the readings bear that out: modeled industrial-pollution burden rests in the bottom 2.1% nationally, and poverty sits in the bottom 5.3% nationally. Unemployment registers at the national minimum, shared with about 15% of ZIPs. Households without a vehicle lands at the national minimum, shared with about 16% of ZIPs. Modeled short sleep resides in the bottom 10.1% nationally, and tree cover lies in the top 10.3% nationally. Working the other way, modeled fine-particle settles in the top 1.4% nationally, and air-toxics cancer risk stands in the top 1.8% nationally. Modeled extreme heat is in the top 8.3% nationally. Fiber broadband rests at the national minimum, shared with about 19% of ZIPs.
Compared with the ZIPs that surround it, park land runs far lower 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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. ZIP 95946, just across the boundary, 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. Compare it against the US, this state and the Yuba City, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 88%
11%
About typical
Social Need / SDOH
healthier than 52%
16%
Mental Health
healthier than 57%
8%
Disability
healthier than 44%
7%
Healthcare Access
healthier than 44%
5%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Environmental Hazard
healthier than 15%
14%
Climate / Disaster Risk
healthier than 35%
5%
Lifting this score
Preventive Care
healthier than 91%
13%
Risk Behavior
healthier than 75%
11%
About typical
Social Need / SDOH
healthier than 52%
16%
Environmental Hazard
healthier than 44%
14%
Mental Health
healthier than 51%
8%
Disability
healthier than 42%
7%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Climate / Disaster Risk
healthier than 31%
5%
Healthcare Access
healthier than 28%
5%
Lifting this score
Social Need / SDOH
healthier than 92%
16%
Environmental Hazard
healthier than 85%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.00%
8%
Disability
healthier than 77%
7%
Healthcare Access
healthier than 69%
5%
About typical
Climate / Disaster Risk
healthier than 54%
5%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
“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
95918
Californiashares a border
Score 50.62
Closest healthier
95946
Californiashares a border
Score 54.39
Similar health profile
93527
California94% similar profile
Score 51.06
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 | 33.3% | 29.6–37.3 |
| High blood pressure among adults | 40.4% | 36.1–44.9 |
| Cancer (non-skin) or melanoma among adults | 12.0% | 10.8–13.3 |
| Current asthma among adults | 10.5% | 9.3–11.8 |
| Coronary heart disease among adults | 9.0% | 7.9–10.1 |
| Chronic obstructive pulmonary disease among adults | 8.7% | 7.3–10.2 |
| Depression among adults | 23.2% | 19.9–26.8 |
| Diagnosed diabetes among adults | 13.5% | 11.6–15.6 |
| High cholesterol among adults who have ever been screened | 42.2% | 37.6–46.7 |
| Obesity among adults | 29.6% | 22.9–37.0 |
| Stroke among adults | 4.5% | 3.9–5.0 |
| All teeth lost among adults aged >=65 years | 8.1% | 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 | 5.3% | 4.2–6.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.9% | 75.6–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 77.7% | 74.2–81.2 |
| Cholesterol screening among adults | 90.0% | 88.6–91.4 |
| Colorectal cancer screening among adults aged 45–75 years | 68.5% | 63.3–73.5 |
| Visited dentist or dental clinic in the past year among adults | 66.5% | 63.0–69.9 |
| Mammography use among women aged 50-74 years | 77.9% | 70.5–84.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.0% | 11.6–16.8 |
| Current cigarette smoking among adults | 13.2% | 10.7–15.8 |
| No leisure-time physical activity among adults | 22.7% | 18.6–27.2 |
| Short sleep duration among adults | 30.1% | 24.2–36.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.4% | 18.2–24.8 |
| Frequent mental distress among adults | 15.9% | 14.0–17.9 |
| Frequent physical distress among adults | 15.8% | 13.8–18.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.4% | 11.7–15.3 |
| Any disability among adults | 33.5% | 29.0–38.4 |
| Hearing disability among adults | 8.8% | 7.8–10.0 |
| Independent living disability among adults | 8.6% | 7.5–10.0 |
| Mobility disability among adults | 17.6% | 15.0–20.4 |
| Self-care disability among adults | 4.4% | 3.8–5.1 |
| Vision disability among adults | 5.1% | 4.4–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.8% | 19.1–26.8 |
| Food insecurity in the past 12 months among adults | 11.2% | 9.2–13.7 |
| Received food stamps in the past 12 months among adults | 12.0% | 9.8–14.6 |
| Housing insecurity in the past 12 months among adults | 9.0% | 7.5–10.8 |
| Lack of reliable transportation in the past 12 months among adults | 6.6% | 5.7–7.7 |
| Loneliness among adults | 31.1% | 25.9–36.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.5% | 4.6–6.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 1.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 28.7% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 8.1% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 23.5% | 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 | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 81.4% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 39.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 77.5% | 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 | 27.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 45.2% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 38.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 42.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $77,903 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $376,800 | $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 | 77.9 yr ± 0.94 | 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 0.94 years of 77.9, 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