ZIP code
96055
in Los Molinos, CaliforniaPopulation 3,473
38.17/ 100
Ranked #27,910 of 32,066 US ZIPs (bottom 13.0%)
Ranked #1,548 of 1,719 California ZIPs (bottom 10.0%)
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
4.7%
in the top 1.2% nationally
Lower is healthier
ST86thUS99thDefinition & 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 ›Industrial-pollution burden
in the bottom 3.1% nationally
Lower is healthier
ST8thUS3rdDefinition & 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 ›Civic-institution access
1 per 1,000 residents
in the top 4.0% nationally
Higher is healthier
ST91stUS96thDefinition & source ›
The number of civic and social organizations 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 ›Loud transportation noise
2.8%
in the top 4.3% nationally
Lower is healthier
ST74thUS96thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
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 ›Pharmacy access
0.51 per 1,000 residents
in the top 5.0% nationally
Higher is healthier
ST96thUS95thDefinition & source ›
The number of pharmacies 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 ›Unemployment rate
13.2%
in the top 5.1% nationally
Lower is healthier
ST92ndUS95thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Natural-disaster risk
in the top 6.1% nationally
Lower is healthier
ST74thUS94thDefinition & 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 ›Dry extreme heat
67.6 days/year
in the top 6.2% 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 ›Distance to an emergency room
17.3 mi
in the top 7.9% nationally
Lower is healthier
ST92ndUS92ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›The read
By the composite health measure, Los Molinos, California (ZIP 96055) ranks in the bottom 13.0% nationally (27,910th) and the bottom 10.0% of California (1,548th).
A number of measures mark where this area is under strain: modeled fine-particle resides in the top 1.2% nationally, and loud transportation noise registers in the top 4.3% nationally. Modeled air-toxics cancer risk rests in the top 4.5% nationally, and unemployment stands in the top 5.1% nationally. Modeled disaster risk lies in the top 6.1% nationally, modeled extreme heat lands in the top 6.2% nationally, and distance to an emergency room sits in the top 7.9% nationally. On the brighter side, modeled industrial-pollution burden is in the bottom 3.1% nationally, civic settles in the top 4.0% nationally, and pharmacy resides in the top 5.0% nationally.
To spell things out, 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. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Close by, ZIP 96021, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Nothing measured is lifting this score.
About typical
Risk Behavior
healthier than 42%
11%
Healthcare Access
healthier than 48%
5%
Holding it back
Chronic Disease Burden
healthier than 28%
21%
Social Need / SDOH
healthier than 16%
16%
Environmental Hazard
healthier than 5%
14%
Preventive Care
healthier than 16%
13%
Mental Health
healthier than 18%
8%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 20%
5%
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Social Need / SDOH
healthier than 22%
16%
Environmental Hazard
healthier than 22%
14%
Preventive Care
healthier than 38%
13%
Risk Behavior
healthier than 22%
11%
Mental Health
healthier than 9%
8%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 18%
5%
Healthcare Access
healthier than 30%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
96021
Californiashares a border
Score 41.77
Closest healthier
96035
Californiashares a border
Score 39.12
Similar health profile
95458
California97% similar profile
Score 39.29
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 | 31.2% | 27.8–34.9 |
| High blood pressure among adults | 39.4% | 35.1–43.8 |
| Cancer (non-skin) or melanoma among adults | 9.6% | 8.7–10.7 |
| Current asthma among adults | 11.3% | 10.1–12.7 |
| Coronary heart disease among adults | 9.5% | 8.5–10.5 |
| Chronic obstructive pulmonary disease among adults | 10.6% | 9.2–12.1 |
| Depression among adults | 25.1% | 21.5–29.1 |
| Diagnosed diabetes among adults | 15.0% | 13.0–17.1 |
| High cholesterol among adults who have ever been screened | 38.7% | 34.3–43.2 |
| Obesity among adults | 33.3% | 25.9–41.7 |
| Stroke among adults | 5.1% | 4.6–5.6 |
| All teeth lost among adults aged >=65 years | 13.7% | 10.9–16.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.9% | 9.3–13.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.2% | 71.8–78.4 |
| Visits to doctor for routine checkup within the past year among adults | 73.2% | 69.1–77.2 |
| Cholesterol screening among adults | 85.1% | 83.1–86.9 |
| Colorectal cancer screening among adults aged 45–75 years | 58.0% | 52.2–63.6 |
| Visited dentist or dental clinic in the past year among adults | 57.4% | 53.5–61.3 |
| Mammography use among women aged 50-74 years | 72.9% | 64.4–80.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 12.0–17.7 |
| Current cigarette smoking among adults | 18.0% | 15.5–20.8 |
| No leisure-time physical activity among adults | 29.9% | 25.3–34.8 |
| Short sleep duration among adults | 34.9% | 28.2–42.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.4% | 26.0–33.0 |
| Frequent mental distress among adults | 19.6% | 17.5–21.9 |
| Frequent physical distress among adults | 18.8% | 16.7–21.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.7% | 16.6–20.9 |
| Any disability among adults | 39.3% | 34.7–44.1 |
| Hearing disability among adults | 9.4% | 8.4–10.6 |
| Independent living disability among adults | 12.1% | 10.8–13.7 |
| Mobility disability among adults | 21.4% | 18.8–24.2 |
| Self-care disability among adults | 6.3% | 5.6–7.1 |
| Vision disability among adults | 7.9% | 7.1–8.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.9% | 22.2–30.1 |
| Food insecurity in the past 12 months among adults | 21.3% | 18.2–24.6 |
| Received food stamps in the past 12 months among adults | 23.2% | 20.1–26.6 |
| Housing insecurity in the past 12 months among adults | 16.1% | 13.8–18.6 |
| Lack of reliable transportation in the past 12 months among adults | 11.3% | 9.9–12.8 |
| Loneliness among adults | 34.7% | 29.4–40.2 |
| Utility services shut-off threat in the past 12 months among adults | 9.7% | 8.3–11.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 8.3% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 10.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 17.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 13.2% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 7.9% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 84.5% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 35.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 68.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 3.6% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 9.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 52.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 20.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 41.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $59,798 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $305,200 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,182 | $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 | 77.2 yr ± 1.43 | 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 1.43 years of 77.2, 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