ZIP code
95918
in Browns Valley, CaliforniaPopulation 1,566
50.62/ 100
Ranked #15,387 of 32,066 US ZIPs (top 48%)
Ranked #1,026 of 1,719 California ZIPs (bottom 40%)
Ranked #4 of 19 Yuba City, CA ZIPs (top 21%)
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
50 per million
in the top 0.9% nationally
Lower is healthier
ST95thUS99thDefinition & 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
4.0%
in the top 1.5% nationally
Lower is healthier
ST83rdUS99thDefinition & 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 ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Industrial-pollution burden
in the bottom 3.8% nationally
Lower is healthier
ST9thUS4thDefinition & 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 ›Housing-cost burden
47.4%
in the top 4.2% nationally
Lower is healthier
ST84thUS96thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Dry extreme heat
58.6 days/year
in the top 7.6% nationally
Lower is healthier
ST76thUS92ndDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Fatal road crashes
38.3 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 ›Outpatient-care access
0.44 per 1,000 residents
in the top 9.8% nationally
Higher is healthier
ST86thUS90thDefinition & source ›
The number of outpatient 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 ›The read
Browns Valley, California (ZIP 95918), overall, ranks in the top 48% healthiest ZIPs nationally (15,387th) and the bottom 40% of California (1,026th).
Taken together, the data gives a genuinely mixed reading: homeownership registers at the national maximum, modeled industrial-pollution burden resides in the bottom 3.8% nationally, and outpatient settles in the top 9.8% nationally. Modeled obesity is in the bottom 13.9% nationally. On the other side, modeled air-toxics cancer risk sits in the top 0.9% nationally, and fine-particle lands in the top 1.5% nationally. Housing-cost burden lies in the top 4.2% nationally, and modeled extreme heat stands in the top 7.6% nationally. Fatal road crashes rests in the top 7.7% nationally. Fiber broadband registers at the national minimum, shared with about 19% of ZIPs.
Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. Defined 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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. ZIP 95962, just across the boundary, 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. 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 73%
13%
Risk Behavior
healthier than 85%
11%
About typical
Chronic Disease Burden
healthier than 42%
21%
Social Need / SDOH
healthier than 47%
16%
Mental Health
healthier than 52%
8%
Disability
healthier than 43%
7%
Healthcare Access
healthier than 43%
5%
Holding it back
Environmental Hazard
healthier than 6%
14%
Climate / Disaster Risk
healthier than 29%
5%
Lifting this score
Preventive Care
healthier than 86%
13%
Risk Behavior
healthier than 69%
11%
About typical
Social Need / SDOH
healthier than 47%
16%
Mental Health
healthier than 45%
8%
Disability
healthier than 40%
7%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Environmental Hazard
healthier than 25%
14%
Climate / Disaster Risk
healthier than 27%
5%
Healthcare Access
healthier than 27%
5%
Lifting this score
Social Need / SDOH
healthier than 85%
16%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 92%
8%
Disability
healthier than 69%
7%
Healthcare Access
healthier than 62%
5%
About typical
Chronic Disease Burden
healthier than 54%
21%
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Environmental Hazard
healthier than 15%
14%
“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
95901
Californiashares a border
Score 41.08
Closest healthier
95962
Californiashares a border
Score 52.00
Similar health profile
15081
Pennsylvania95% similar profile
Score 50.88
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 | 32.1% | 28.5–35.9 |
| High blood pressure among adults | 38.4% | 34.1–43.0 |
| Cancer (non-skin) or melanoma among adults | 11.5% | 10.4–12.7 |
| Current asthma among adults | 10.7% | 9.5–12.1 |
| Coronary heart disease among adults | 8.3% | 7.3–9.4 |
| Chronic obstructive pulmonary disease among adults | 8.2% | 7.0–9.6 |
| Depression among adults | 23.3% | 19.9–26.8 |
| Diagnosed diabetes among adults | 12.8% | 11.0–14.8 |
| High cholesterol among adults who have ever been screened | 40.8% | 36.3–45.4 |
| Obesity among adults | 28.9% | 22.1–36.3 |
| Stroke among adults | 4.3% | 3.9–4.9 |
| All teeth lost among adults aged >=65 years | 10.8% | 8.7–13.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.8% | 4.8–7.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.9% | 74.6–81.0 |
| Visits to doctor for routine checkup within the past year among adults | 77.1% | 73.6–80.4 |
| Cholesterol screening among adults | 89.8% | 88.5–91.2 |
| Colorectal cancer screening among adults aged 45–75 years | 65.6% | 60.3–70.7 |
| Visited dentist or dental clinic in the past year among adults | 67.4% | 63.9–70.7 |
| Mammography use among women aged 50-74 years | 77.9% | 70.7–84.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.2% | 11.7–16.9 |
| Current cigarette smoking among adults | 13.0% | 10.8–15.6 |
| No leisure-time physical activity among adults | 23.2% | 19.1–27.8 |
| Short sleep duration among adults | 31.5% | 25.5–37.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.4% | 18.2–24.9 |
| Frequent mental distress among adults | 16.4% | 14.5–18.5 |
| Frequent physical distress among adults | 15.8% | 13.8–18.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.9% | 12.1–15.9 |
| Any disability among adults | 33.7% | 29.1–38.5 |
| Hearing disability among adults | 8.5% | 7.5–9.6 |
| Independent living disability among adults | 8.9% | 7.8–10.2 |
| Mobility disability among adults | 17.5% | 14.9–20.2 |
| Self-care disability among adults | 4.4% | 3.8–5.0 |
| Vision disability among adults | 5.2% | 4.5–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.1% | 20.3–28.2 |
| Food insecurity in the past 12 months among adults | 11.8% | 9.6–14.2 |
| Received food stamps in the past 12 months among adults | 11.8% | 9.5–14.2 |
| Housing insecurity in the past 12 months among adults | 9.6% | 8.0–11.4 |
| Lack of reliable transportation in the past 12 months among adults | 6.8% | 5.9–7.9 |
| Loneliness among adults | 32.6% | 27.3–38.0 |
| 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 | 8.0% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 15.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 5.1% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 25.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.1% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 2.1% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 87.6% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 47.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 100.0% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.5% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 10.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 75.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 41.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 64.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $56,750 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $579,800 | $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 | 78.1 yr ± 1.05 | 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 1.05 years of 78.1, 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