ZIP code
95454
in Laytonville, CaliforniaPopulation 1,670
37.72/ 100
Ranked #28,186 of 32,066 US ZIPs (bottom 12.2%)
Ranked #1,560 of 1,719 California ZIPs (bottom 9.3%)
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.
Fatal road crashes
137.7 per 100,000 residents per year
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Unemployment rate
19%
in the top 2.3% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Slow internet speeds
2.2%
in the top 5.2% nationally
Lower is healthier
ST91stUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Natural-disaster risk
in the top 6.5% nationally
Lower is healthier
ST72ndUS94thDefinition & 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 ›Fine-particle (PM2.5) exceedance
1.4%
in the top 6.9% nationally
Lower is healthier
ST57thUS93rdDefinition & 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 ›Poverty rate
28.9%
in the top 7.5% nationally
Lower is healthier
ST93rdUS93rdDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Energy-cost burden
5.3%
in the top 6.4% nationally
Lower is healthier
ST99thUS94thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Independent-living disability
12.3%
in the top 9.8% nationally
Lower is healthier
ST90thUS90thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Households without a vehicle
12.8%
in the top 9.8% nationally
Lower is healthier
ST91stUS90thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Self-care disability
6.3%
in the top 9.7% nationally
Lower is healthier
ST88thUS90thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›The read
Laytonville, California (ZIP 95454), by its composite score, sits in the bottom 12.2% nationally (28,186th) and the bottom 9.3% of California (1,560th).
The measures that define this area's challenges come through directly: fatal road crashes resides in the top 0.2% nationally, and unemployment is in the top 2.3% nationally. Slow internet speeds lands in the top 5.2% nationally, and modeled disaster risk stands in the top 6.5% nationally. Modeled fine-particle registers in the top 6.9% nationally, poverty settles in the top 7.5% nationally, and modeled energy burden sits in the top 6.4% nationally. Modeled fair or poor health lies in the top 10.4% nationally, and independent living disability rests in the top 9.8% nationally. Fiber broadband resides at the national minimum, shared with about 19% of ZIPs.
Next to the surrounding area, fatal road crashes runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Energy burden is the share of household income that goes to home energy bills. For a healthier comparison close by, see ZIP 95417, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 92%
5%
About typical
Healthcare Access
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Social Need / SDOH
healthier than 3%
16%
Environmental Hazard
healthier than 33%
14%
Preventive Care
healthier than 14%
13%
Risk Behavior
healthier than 21%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 11%
7%
Lifting this score
Environmental Hazard
healthier than 63%
14%
Climate / Disaster Risk
healthier than 83%
5%
Holding it back
Chronic Disease Burden
healthier than 8%
21%
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 36%
13%
Risk Behavior
healthier than 10%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 11%
7%
Healthcare Access
healthier than 26%
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
95417
Californiashares a border
Score 39.25
Closest healthier
95490
Californiashares a border
Score 50.19
Similar health profile
15542
Pennsylvania98% similar profile
Score 41.84
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% | 27.5–34.8 |
| High blood pressure among adults | 41.3% | 36.8–45.7 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.5–10.4 |
| Current asthma among adults | 11.6% | 10.2–13.1 |
| Coronary heart disease among adults | 9.7% | 8.7–10.9 |
| Chronic obstructive pulmonary disease among adults | 11.1% | 9.6–12.7 |
| Depression among adults | 25.6% | 21.8–29.5 |
| Diagnosed diabetes among adults | 15.2% | 13.2–17.3 |
| High cholesterol among adults who have ever been screened | 39.6% | 35.0–44.2 |
| Obesity among adults | 32.6% | 25.2–40.2 |
| Stroke among adults | 5.1% | 4.6–5.7 |
| All teeth lost among adults aged >=65 years | 12.7% | 10.0–15.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.8% | 8.1–11.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.0% | 70.6–77.0 |
| Visits to doctor for routine checkup within the past year among adults | 72.8% | 68.6–76.6 |
| Cholesterol screening among adults | 84.2% | 81.9–86.1 |
| Colorectal cancer screening among adults aged 45–75 years | 63.1% | 57.5–68.3 |
| Visited dentist or dental clinic in the past year among adults | 54.7% | 50.4–58.5 |
| Mammography use among women aged 50-74 years | 69.3% | 60.2–77.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.0–19.0 |
| Current cigarette smoking among adults | 20.1% | 17.1–23.3 |
| No leisure-time physical activity among adults | 28.5% | 23.7–33.6 |
| Short sleep duration among adults | 37.5% | 30.8–44.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.0% | 25.4–33.1 |
| Frequent mental distress among adults | 20.5% | 18.2–23.0 |
| Frequent physical distress among adults | 18.9% | 16.6–21.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.0% | 16.8–21.4 |
| Any disability among adults | 39.8% | 35.0–44.9 |
| Hearing disability among adults | 9.7% | 8.5–10.8 |
| Independent living disability among adults | 12.3% | 10.8–13.9 |
| Mobility disability among adults | 21.0% | 18.2–24.0 |
| Self-care disability among adults | 6.3% | 5.6–7.1 |
| Vision disability among adults | 7.7% | 6.8–8.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.9% | 23.2–30.7 |
| Food insecurity in the past 12 months among adults | 22.2% | 19.0–25.5 |
| Received food stamps in the past 12 months among adults | 24.6% | 21.2–27.9 |
| Housing insecurity in the past 12 months among adults | 16.8% | 14.5–19.0 |
| Lack of reliable transportation in the past 12 months among adults | 11.9% | 10.5–13.3 |
| Loneliness among adults | 35.2% | 30.2–40.5 |
| Utility services shut-off threat in the past 12 months among adults | 10.5% | 9.1–11.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 28.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 12.9% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 20.9% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 7.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 19.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 12.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 76.8% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 33.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 78.3% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 2.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 73.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 35.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 59.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $42,447 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $393,700 | $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 | 78.8 yr ± 2.00 | 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 2.00 years of 78.8, 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