ZIP code
95935
in Dobbins, CaliforniaPopulation 934
41.12/ 100
Ranked #25,940 of 32,066 US ZIPs (bottom 19%)
Ranked #1,468 of 1,719 California ZIPs (bottom 14.7%)
Ranked #14 of 19 Yuba City, CA ZIPs (bottom 26%)
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.
Housing-cost burden
62.9%
in the top 1.0% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Industrial-pollution burden
in the bottom 1.1% nationally
Lower is healthier
ST2ndUS1stDefinition & 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 ›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 ›Crowded housing
18.2%
in the top 1.5% nationally
Lower is healthier
ST93rdUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Coronary heart disease
11.3%
in the top 3.3% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Air-toxics cancer risk
40 per million
in the top 4.5% nationally
Lower is healthier
ST73rdUS96thDefinition & 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 ›Unemployment rate
13.9%
in the top 4.6% nationally
Lower is healthier
ST92ndUS95thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Stroke
5.8%
in the top 5.3% nationally
Lower is healthier
ST97thUS95thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Poverty rate
33.3%
in the top 5.2% nationally
Lower is healthier
ST95thUS95thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Hearing disability
11.3%
in the top 7.5% nationally
Lower is healthier
ST98thUS93rdDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›The read
In overall standing, Dobbins, California (ZIP 95935) comes out in the bottom 19% nationally (25,940th) and the bottom 14.7% of California (1,468th).
The profile opens on the burdens that define it most: housing-cost burden settles in the top 1.0% nationally, modeled fine-particle registers in the top 1.4% nationally, and crowded housing stands in the top 1.5% nationally. Modeled coronary heart disease lands in the top 3.3% nationally, modeled air-toxics cancer risk is in the top 4.5% nationally, and unemployment resides in the top 4.6% nationally. Modeled stroke rests in the top 5.3% nationally, and poverty lies in the top 5.2% nationally. Modeled hearing disability sits in the top 7.5% nationally. More positively, modeled industrial-pollution burden settles in the bottom 1.1% nationally.
Relative to the ZIPs around it, crowded housing runs far higher than the surrounding ZIPs on this measure. In plain terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. 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. The nearest healthier ZIP overall is ZIP 95960, 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 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
Risk Behavior
healthier than 68%
11%
Climate / Disaster Risk
healthier than 65%
5%
About typical
Preventive Care
healthier than 44%
13%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 14%
14%
Mental Health
healthier than 38%
8%
Disability
healthier than 11%
7%
Healthcare Access
healthier than 37%
5%
Lifting this score
Preventive Care
healthier than 65%
13%
About typical
Environmental Hazard
healthier than 43%
14%
Risk Behavior
healthier than 44%
11%
Climate / Disaster Risk
healthier than 47%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 12%
16%
Mental Health
healthier than 29%
8%
Disability
healthier than 11%
7%
Healthcare Access
healthier than 23%
5%
Lifting this score
Environmental Hazard
healthier than 69%
14%
Preventive Care
healthier than 85%
13%
Risk Behavior
healthier than 69%
11%
Mental Health
healthier than 77%
8%
Climate / Disaster Risk
healthier than 62%
5%
About typical
Healthcare Access
healthier than 54%
5%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Disability
healthier than 31%
7%
“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
95919
Californiashares a border
Score 34.39
Closest healthier
95960
Californiashares a border
Score 45.98
Similar health profile
95246
California97% similar profile
Score 42.00
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 | 34.6% | 30.9–38.6 |
| High blood pressure among adults | 43.0% | 38.7–47.6 |
| Cancer (non-skin) or melanoma among adults | 11.5% | 10.4–12.7 |
| Current asthma among adults | 11.1% | 9.9–12.5 |
| Coronary heart disease among adults | 11.3% | 10.1–12.7 |
| Chronic obstructive pulmonary disease among adults | 11.2% | 9.7–12.9 |
| Depression among adults | 23.7% | 20.4–27.3 |
| Diagnosed diabetes among adults | 16.1% | 14.0–18.5 |
| High cholesterol among adults who have ever been screened | 42.0% | 37.5–46.4 |
| Obesity among adults | 32.3% | 25.2–39.9 |
| Stroke among adults | 5.8% | 5.2–6.4 |
| All teeth lost among adults aged >=65 years | 15.1% | 12.3–18.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.0% | 6.6–9.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.4% | 75.3–81.2 |
| Visits to doctor for routine checkup within the past year among adults | 76.6% | 73.1–79.9 |
| Cholesterol screening among adults | 88.1% | 86.5–89.5 |
| Colorectal cancer screening among adults aged 45–75 years | 65.2% | 59.9–70.3 |
| Visited dentist or dental clinic in the past year among adults | 60.2% | 56.8–63.7 |
| Mammography use among women aged 50-74 years | 72.6% | 64.2–79.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.1% | 10.8–15.7 |
| Current cigarette smoking among adults | 16.8% | 14.3–19.7 |
| No leisure-time physical activity among adults | 28.0% | 23.4–33.1 |
| Short sleep duration among adults | 33.0% | 26.9–39.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.6% | 24.2–31.5 |
| Frequent mental distress among adults | 17.7% | 15.7–19.9 |
| Frequent physical distress among adults | 18.7% | 16.6–21.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.6% | 14.6–18.9 |
| Any disability among adults | 39.6% | 35.0–44.8 |
| Hearing disability among adults | 11.3% | 10.0–12.8 |
| Independent living disability among adults | 11.6% | 10.2–13.1 |
| Mobility disability among adults | 22.2% | 19.5–25.4 |
| Self-care disability among adults | 6.4% | 5.7–7.2 |
| Vision disability among adults | 7.6% | 6.8–8.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.0% | 21.4–28.8 |
| Food insecurity in the past 12 months among adults | 17.9% | 15.2–21.0 |
| Received food stamps in the past 12 months among adults | 20.3% | 17.4–23.4 |
| Housing insecurity in the past 12 months among adults | 13.4% | 11.5–15.6 |
| Lack of reliable transportation in the past 12 months among adults | 10.1% | 8.8–11.5 |
| Loneliness among adults | 32.5% | 27.6–37.8 |
| Utility services shut-off threat in the past 12 months among adults | 8.7% | 7.5–10.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 33.3% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 12.2% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 5.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 23.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 13.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 2.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 94.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 62.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 86.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 18.2% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 1.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 61.2% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 23.4% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 50.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $54,110 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $419,000 | $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 | 77.6 yr ± 1.07 | 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 1.07 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