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ZipVitals

ZIP code

95490

in Willits, CaliforniaPopulation 14,677

50.19/ 100

Ranked #15,969 of 32,066 US ZIPs (top 50%)

Ranked #1,059 of 1,719 California ZIPs (bottom 38%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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

1.4%

in the top 6.3% nationally

Lower is healthier

ST59th
US94th
Definition & 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 ›

Natural-disaster risk

in the top 6.4% nationally

Lower is healthier

ST72nd
US94th
Definition & 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 ›

Crowded housing

6.9%

in the top 8.6% nationally

Lower is healthier

ST64th
US91st
Definition & source ›

The share of occupied homes with more than one person per room, the Census definition of crowded housing.

Full methodology ›

Tree cover

60.1%

in the top 14.9% nationally

Higher is healthier

ST91st
US85th
Definition & source ›

The share of this ZIP’s land area covered by forest.

Full methodology ›

The read

In overall standing, Willits, California (ZIP 95490) comes out in the top 50% healthiest ZIPs nationally (15,969th) and the bottom 38% of California (1,059th).

continue reading

Several good marks anchor the profile and deserve first mention: modeled industrial-pollution burden lands in the bottom 10.8% nationally. Distance to a community health center is at the national minimum, shared with about 23% of ZIPs. Modeled obesity resides in the bottom 13.3% nationally, and grocery rests in the top 12.9% nationally. Distance to a nursing home lies at the national minimum, shared with about 27% of ZIPs. Modeled tree cover sits in the top 14.9% nationally. By contrast, modeled fine-particle settles in the top 6.3% nationally, and disaster risk registers in the top 6.4% nationally. Crowded housing stands in the top 8.6% nationally. Fiber broadband lands at the national minimum, shared with about 19% of ZIPs.

Relative to the ZIPs around it, park land runs far higher than the surrounding ZIPs on this measure. In plain terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. The nearest healthier ZIP overall is ZIP 95469, 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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 60%

21%

Climate / Disaster Risk

healthier than 87%

5%

Healthcare Access

healthier than 77%

5%

About typical

Environmental Hazard

healthier than 46%

14%

Risk Behavior

healthier than 58%

11%

Holding it back

Social Need / SDOH

healthier than 34%

16%

Preventive Care

healthier than 29%

13%

Mental Health

healthier than 27%

8%

Disability

healthier than 39%

7%

Lifting this score

Environmental Hazard

healthier than 71%

14%

Climate / Disaster Risk

healthier than 72%

5%

About typical

Preventive Care

healthier than 51%

13%

Healthcare Access

healthier than 55%

5%

Holding it back

Chronic Disease Burden

healthier than 26%

21%

Social Need / SDOH

healthier than 37%

16%

Risk Behavior

healthier than 33%

11%

Mental Health

healthier than 17%

8%

Disability

healthier than 36%

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 ›

Findings that name this ZIP

One of our published findings lists 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 77.1 ± 1.6 years. A median household income of $79,594 predicts 79.2 years — 2.1 years below.

    Ranked #2,767 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

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
MeasureCrude prevalence95% CI
Arthritis among adults27.4%24.2–30.5
High blood pressure among adults35.8%31.6–39.8
Cancer (non-skin) or melanoma among adults9.2%8.3–10.1
Current asthma among adults10.9%9.6–12.2
Coronary heart disease among adults7.3%6.6–8.2
Chronic obstructive pulmonary disease among adults7.8%6.9–8.7
Depression among adults24.2%20.6–27.8
Diagnosed diabetes among adults12.0%10.3–13.7
High cholesterol among adults who have ever been screened37.2%32.7–41.4
Obesity among adults28.7%22.0–35.6
Stroke among adults3.9%3.6–4.3
All teeth lost among adults aged >=65 years12.7%10.1–15.5
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years8.8%7.5–10.2
Taking medicine to control high blood pressure among adults with high blood pressure73.0%69.5–76.0
Visits to doctor for routine checkup within the past year among adults72.8%68.5–76.4
Cholesterol screening among adults85.7%83.9–87.3
Colorectal cancer screening among adults aged 45–75 years64.4%58.9–69.3
Visited dentist or dental clinic in the past year among adults62.4%58.5–65.9
Mammography use among women aged 50-74 years75.4%67.0–82.3
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults16.9%13.9–20.1
Current cigarette smoking among adults14.6%12.5–16.7
No leisure-time physical activity among adults23.7%19.7–27.7
Short sleep duration among adults34.8%28.4–41.4
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults22.8%19.9–25.5
Frequent mental distress among adults18.7%16.6–20.7
Frequent physical distress among adults15.5%13.7–17.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults16.2%14.3–18.0
Any disability among adults33.8%29.6–38.0
Hearing disability among adults7.7%6.8–8.6
Independent living disability among adults9.6%8.6–10.7
Mobility disability among adults16.3%14.3–18.3
Self-care disability among adults4.5%4.0–4.9
Vision disability among adults5.7%5.2–6.3
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults25.8%22.1–29.7
Food insecurity in the past 12 months among adults16.6%14.2–19.2
Received food stamps in the past 12 months among adults16.4%14.0–18.7
Housing insecurity in the past 12 months among adults13.6%11.8–15.6
Lack of reliable transportation in the past 12 months among adults9.1%8.0–10.2
Loneliness among adults35.2%30.1–40.4
Utility services shut-off threat in the past 12 months among adults7.6%6.6–8.7
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate7.9%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–645.8%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)10.1%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)25.4%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)7.3%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle6.8%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription87.4%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)36.4%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate65.2%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)6.9%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population7.1%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households46.0%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+26.2%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age44.0 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$79,594$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$392,700$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$1,243$1,021 ($677–$1,912) n=25,670$1,912 ($1,113–$2,923) n=1,461
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)CA median (p10–p90)
Life expectancy at birth77.1 yr ± 0.8478.9 yr (74.7–82.8) n=31,30880.5 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 0.84 years of 77.1, and it’s very unlikely to be off by more than twice that.

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