ZIP code
95961
in Olivehurst, CaliforniaPopulation 33,999
45.43/ 100
Ranked #21,958 of 32,066 US ZIPs (bottom 32%)
Ranked #1,297 of 1,719 California ZIPs (bottom 25%)
Ranked #10 of 19 Yuba City, CA ZIPs (bottom 47%)
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
46.1 per million
in the top 1.4% nationally
Lower is healthier
ST90thUS99thDefinition & 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 ›Fine-particle (PM2.5) exceedance
2.5%
in the top 3.2% nationally
Lower is healthier
ST71stUS97thDefinition & 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 ›Dry extreme heat
87.5 days/year
in the top 3.7% nationally
Lower is healthier
ST88thUS96thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Floodplain exposure
49.8%
in the top 4.0% nationally
Lower is healthier
ST96thUS96thDefinition & 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 ›Colon-cancer screening
55.6%
in the bottom 5.6% nationally
Higher is healthier
ST24thUS6thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Nitrate in drinking water
1.3%
in the top 6.1% nationally
Lower is healthier
ST86thUS94thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams per liter.
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 ›Natural-disaster risk
in the top 7.7% nationally
Lower is healthier
ST67thUS92ndDefinition & 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 ›Outer-floodplain exposure
3.7%
in the top 9.4% nationally
Lower is healthier
ST81stUS91stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
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 ›High blood pressure
28.7%
in the bottom 7.5% nationally
Lower is healthier
ST22ndUS7thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Tree cover
0.00%
in the bottom 10.0% nationally
Higher is healthier
ST40thUS10thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
In its overall standing, Olivehurst, California (ZIP 95961) lands in the bottom 32% nationally (21,958th) and the bottom 25% of California (1,297th).
Taken together, the data gives a genuinely mixed reading: modeled high blood pressure registers in the bottom 7.5% nationally. On the other side, modeled air-toxics cancer risk resides in the top 1.4% nationally, fine-particle settles in the top 3.2% nationally, and extreme heat is in the top 3.7% nationally. Floodplain exposure sits in the top 4.0% nationally, and modeled colon screening lands in the bottom 5.6% nationally. Modeled nitrate lies in the top 6.1% nationally, and disaster risk stands in the top 7.7% nationally. Outer-floodplain exposure rests in the top 9.4% nationally, and modeled tree cover registers in the bottom 10.0% nationally.
Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. Put simply, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. On the overall standing, ZIP 95659, just across the boundary, ranks healthier.
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
Chronic Disease Burden
healthier than 87%
21%
Healthcare Access
healthier than 80%
5%
About typical
Risk Behavior
healthier than 47%
11%
Disability
healthier than 49%
7%
Holding it back
Social Need / SDOH
healthier than 20%
16%
Environmental Hazard
healthier than 9%
14%
Preventive Care
healthier than 7%
13%
Mental Health
healthier than 25%
8%
Climate / Disaster Risk
in the bottom 0.8%
5%
Lifting this score
Chronic Disease Burden
healthier than 62%
21%
About typical
Disability
healthier than 46%
7%
Healthcare Access
healthier than 60%
5%
Holding it back
Social Need / SDOH
healthier than 26%
16%
Environmental Hazard
healthier than 33%
14%
Preventive Care
healthier than 22%
13%
Risk Behavior
healthier than 25%
11%
Mental Health
healthier than 14%
8%
Climate / Disaster Risk
healthier than 2%
5%
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Disability
healthier than 92%
7%
Healthcare Access
healthier than 92%
5%
About typical
Social Need / SDOH
healthier than 46%
16%
Mental Health
healthier than 46%
8%
Holding it back
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 31%
11%
Climate / Disaster Risk
healthier than 15%
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 77.6 ± 1.5 years. A median household income of $89,561 predicts 79.6 years — 2.0 years below.
Ranked #2,645 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 8.7 (bottom 10%); chronic-disease standing 86.8 — 78 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,055 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 46.1 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 77.6 ± 1.5 years.
Ranked #268 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
95659
Californiashares a border
Score 46.79
Closest healthier
95674
Californiashares a border
Score 45.94
Similar health profile
93245
California97% similar profile
Score 46.14
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 | 20.7% | 18.2–23.3 |
| High blood pressure among adults | 28.7% | 25.2–32.4 |
| Cancer (non-skin) or melanoma among adults | 5.8% | 5.3–6.3 |
| Current asthma among adults | 10.5% | 9.3–11.7 |
| Coronary heart disease among adults | 5.3% | 4.8–5.8 |
| Chronic obstructive pulmonary disease among adults | 5.9% | 5.2–6.6 |
| Depression among adults | 23.7% | 20.4–27.2 |
| Diagnosed diabetes among adults | 10.5% | 9.2–12.0 |
| High cholesterol among adults who have ever been screened | 32.2% | 28.5–36.2 |
| Obesity among adults | 30.4% | 23.6–37.6 |
| Stroke among adults | 3.0% | 2.8–3.3 |
| All teeth lost among adults aged >=65 years | 14.2% | 11.6–17.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.4% | 9.8–13.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 67.2% | 63.9–70.4 |
| Visits to doctor for routine checkup within the past year among adults | 69.0% | 64.9–73.1 |
| Cholesterol screening among adults | 82.6% | 80.5–84.6 |
| Colorectal cancer screening among adults aged 45–75 years | 55.6% | 50.3–60.9 |
| Visited dentist or dental clinic in the past year among adults | 56.0% | 52.4–59.7 |
| Mammography use among women aged 50-74 years | 73.1% | 64.9–80.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 14.5–20.6 |
| Current cigarette smoking among adults | 14.1% | 12.2–16.3 |
| No leisure-time physical activity among adults | 25.2% | 21.2–29.7 |
| Short sleep duration among adults | 36.2% | 29.6–43.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.0% | 20.3–25.9 |
| Frequent mental distress among adults | 19.5% | 17.4–21.8 |
| Frequent physical distress among adults | 14.6% | 13.0–16.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.3% | 15.5–19.4 |
| Any disability among adults | 32.0% | 27.9–36.5 |
| Hearing disability among adults | 5.7% | 5.1–6.4 |
| Independent living disability among adults | 9.3% | 8.3–10.4 |
| Mobility disability among adults | 13.8% | 12.1–15.6 |
| Self-care disability among adults | 4.2% | 3.8–4.6 |
| Vision disability among adults | 5.9% | 5.4–6.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.2% | 25.3–33.5 |
| Food insecurity in the past 12 months among adults | 20.2% | 17.7–23.1 |
| Received food stamps in the past 12 months among adults | 18.9% | 16.6–21.5 |
| Housing insecurity in the past 12 months among adults | 17.2% | 15.0–19.6 |
| Lack of reliable transportation in the past 12 months among adults | 10.9% | 9.7–12.3 |
| Loneliness among adults | 37.5% | 32.2–43.4 |
| Utility services shut-off threat in the past 12 months among adults | 9.0% | 7.9–10.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.7% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.2% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 17.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 16.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 7.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 92.2% | 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 | 73.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 5.7% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 12.9% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 36.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 9.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 32.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $89,561 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $435,500 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,376 | $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 | 77.6 yr ± 0.75 | 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 0.75 years of 77.6, 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