ZIP code
95965
in Oroville, CaliforniaPopulation 21,181
37.89/ 100
Ranked #28,079 of 32,066 US ZIPs (bottom 12.5%)
Ranked #1,556 of 1,719 California ZIPs (bottom 9.5%)
Ranked #14 of 18 Chico, CA ZIPs (bottom 22%)
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.
Air-toxics cancer risk
55.6 per million
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Distance to a Superfund site
In this ZIP
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Fine-particle (PM2.5) exceedance
3.5%
in the top 2.0% nationally
Lower is healthier
ST79thUS98thDefinition & 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 ›Natural-disaster risk
in the top 3.2% nationally
Lower is healthier
ST87thUS97thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Subsidized affordable housing
471 units
in the top 4.8% nationally
Higher is healthier
ST87thUS95thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Dry extreme heat
69.2 days/year
in the top 6.0% nationally
Lower is healthier
ST79thUS94thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Mental-health provider access
0.14 per 1,000 residents
in the top 7.3% nationally
Higher is healthier
ST90thUS93rdDefinition & source ›
The number of mental-health clinics located 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
38.2 per 100,000 residents per year
in the top 7.7% nationally
Lower is healthier
ST92ndUS92ndDefinition & 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 ›Lithium in drinking water
64 µg/L
in the top 7.9% nationally
Lower is healthier
ST98thUS92ndDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
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
16.7%
in the top 8.1% nationally
Higher is healthier
ST77thUS92ndDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›The read
Overall, ZIP 95965, one of several in Oroville, California places in the bottom 12.5% nationally (28,079th) and the bottom 9.5% of California (1,556th).
The measures that define this area's challenges come through directly: modeled air-toxics cancer risk lies in the top 0.4% nationally, and distance to a Superfund site rests at the national minimum. Modeled fine-particle resides in the top 2.0% nationally, and disaster risk is in the top 3.2% nationally. Modeled extreme heat lands in the top 6.0% nationally, fatal road crashes stands in the top 7.7% nationally, and lithium in drinking water registers in the top 7.9% nationally. On the stronger side, subsidized affordable housing settles in the top 4.8% nationally, mental-health providers sits in the top 7.3% nationally, and park land lies in the top 8.1% nationally.
Beside the areas that surround it, park land runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Among nearby ZIPs, the nearest healthier one overall is ZIP 95901, 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. Compare it against the US, this state and the Chico, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 82%
5%
About typical
Chronic Disease Burden
healthier than 51%
21%
Holding it back
Social Need / SDOH
healthier than 16%
16%
Environmental Hazard
healthier than 5%
14%
Preventive Care
healthier than 7%
13%
Risk Behavior
healthier than 27%
11%
Mental Health
healthier than 9%
8%
Disability
healthier than 17%
7%
Climate / Disaster Risk
healthier than 12%
5%
Lifting this score
Healthcare Access
healthier than 63%
5%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 23%
16%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 23%
13%
Risk Behavior
healthier than 13%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 17%
7%
Climate / Disaster Risk
healthier than 10%
5%
Lifting this score
Healthcare Access
healthier than 75%
5%
About typical
Chronic Disease Burden
healthier than 50%
21%
Environmental Hazard
healthier than 56%
14%
Holding it back
Social Need / SDOH
healthier than 25%
16%
Preventive Care
healthier than 6%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 25%
7%
Climate / Disaster Risk
healthier than 25%
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 ›
Findings that name this ZIP
3 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 74.9 ± 1.2 years. A median household income of $53,198 predicts 77.6 years — 2.7 years below.
Ranked #3,757 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 74.9 ± 1.2 years. The 50 nearest ZIP codes with estimates average 78.7 years — 3.8 years below them.
Ranked #2,923 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 55.6 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 74.9 ± 1.2 years.
Ranked #65 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
95901
Californiashares a border
Score 41.08
Closest healthier
95917
Californiashares a border
Score 46.90
Similar health profile
93308
California98% similar profile
Score 38.69
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 | 26.0% | 23.2–29.0 |
| High blood pressure among adults | 35.8% | 32.0–39.7 |
| Cancer (non-skin) or melanoma among adults | 7.7% | 7.0–8.5 |
| Current asthma among adults | 11.1% | 9.8–12.4 |
| Coronary heart disease among adults | 7.7% | 7.0–8.5 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 8.2–10.2 |
| Depression among adults | 26.2% | 22.6–29.8 |
| Diagnosed diabetes among adults | 13.1% | 11.5–14.9 |
| High cholesterol among adults who have ever been screened | 35.9% | 31.9–40.0 |
| Obesity among adults | 31.9% | 25.7–38.7 |
| Stroke among adults | 4.4% | 4.0–4.7 |
| All teeth lost among adults aged >=65 years | 18.5% | 15.3–21.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.4% | 9.0–12.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.4% | 68.2–74.3 |
| Visits to doctor for routine checkup within the past year among adults | 71.4% | 67.4–75.2 |
| Cholesterol screening among adults | 81.6% | 79.6–83.6 |
| Colorectal cancer screening among adults aged 45–75 years | 57.9% | 52.6–62.9 |
| Visited dentist or dental clinic in the past year among adults | 51.8% | 48.0–55.5 |
| Mammography use among women aged 50-74 years | 68.7% | 59.9–76.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.4% | 13.6–19.5 |
| Current cigarette smoking among adults | 18.3% | 15.8–20.8 |
| No leisure-time physical activity among adults | 28.8% | 24.6–33.3 |
| Short sleep duration among adults | 36.5% | 30.3–42.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.7% | 24.6–30.9 |
| Frequent mental distress among adults | 21.0% | 18.8–23.2 |
| Frequent physical distress among adults | 17.1% | 15.2–19.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.3% | 17.3–21.4 |
| Any disability among adults | 37.7% | 33.4–42.1 |
| Hearing disability among adults | 8.0% | 7.1–8.9 |
| Independent living disability among adults | 11.9% | 10.7–13.1 |
| Mobility disability among adults | 18.5% | 16.3–20.7 |
| Self-care disability among adults | 5.7% | 5.1–6.2 |
| Vision disability among adults | 7.4% | 6.8–8.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.6% | 24.8–32.7 |
| Food insecurity in the past 12 months among adults | 23.3% | 20.4–26.4 |
| Received food stamps in the past 12 months among adults | 25.3% | 22.6–28.3 |
| Housing insecurity in the past 12 months among adults | 17.4% | 15.3–19.8 |
| Lack of reliable transportation in the past 12 months among adults | 12.4% | 11.1–13.9 |
| Loneliness among adults | 36.7% | 31.6–42.0 |
| Utility services shut-off threat in the past 12 months among adults | 10.4% | 9.1–11.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 24.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 8.8% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 19.7% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 15.0% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 8.2% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 9.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 87.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 38.6% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 62.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 6.7% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 13.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 43.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 16.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 35.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $53,198 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $308,500 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,191 | $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 | 74.9 yr ± 0.63 | 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 0.63 years of 74.9, 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