ZIP code
95552
in Mad River, CaliforniaPopulation 586
35.04/ 100
Ranked #29,379 of 32,066 US ZIPs (bottom 8.4%)
Ranked #1,607 of 1,719 California ZIPs (bottom 6.6%)
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
5.9%
in the top 0.8% nationally
Lower is healthier
ST91stUS99thDefinition & 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 ›Lead in tap water
18 ppb
in the top 0.8% nationally
Lower is healthier
US99thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Home broadband subscription
39%
in the bottom 0.9% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Coronary heart disease
12.3%
in the top 1.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Stroke
6.5%
in the top 2.3% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Industrial-pollution burden
in the bottom 1.3% nationally
Lower is healthier
ST3rdUS1stDefinition & 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 ›Slow internet speeds
10.7%
in the top 1.3% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Mobility disability
25.7%
in the top 2.7% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Air-toxics cancer risk
40.7 per million
in the top 2.0% nationally
Lower is healthier
ST86thUS98thDefinition & 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 ›Recreation access
1.8 per 1,000 residents
in the top 2.1% nationally
Higher is healthier
ST96thUS98thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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
On balance, and by the composite measure, Mad River, California (ZIP 95552) ranks in the bottom 8.4% nationally (29,379th) and the bottom 6.6% of California (1,607th).
The measures that define the ground here come first: modeled fine-particle stands in the top 0.8% nationally, and lead in tap water settles in the top 0.8% nationally. Home broadband subscription lies in the bottom 0.9% nationally, and modeled coronary heart disease resides in the top 1.4% nationally. Modeled stroke lands in the top 2.3% nationally, slow internet speeds registers in the top 1.3% nationally, and modeled mobility disability sits in the top 2.7% nationally. Modeled air-toxics cancer risk rests in the top 2.0% nationally. On the stronger side, modeled industrial-pollution burden is in the bottom 1.3% nationally, and recreation stands in the top 2.1% nationally.
Compared with the ZIPs it borders, lead in tap water runs far higher than the surrounding ZIPs on this measure. In plainer terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier nearby ZIP overall, look to ZIP 95526, 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 90%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 16%
16%
Environmental Hazard
healthier than 16%
14%
Preventive Care
healthier than 30%
13%
Risk Behavior
healthier than 38%
11%
Mental Health
healthier than 16%
8%
Disability
healthier than 4%
7%
Healthcare Access
healthier than 22%
5%
Lifting this score
Climate / Disaster Risk
healthier than 78%
5%
About typical
Environmental Hazard
healthier than 46%
14%
Preventive Care
healthier than 53%
13%
Holding it back
Chronic Disease Burden
healthier than 1%
21%
Social Need / SDOH
healthier than 22%
16%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 4%
7%
Healthcare Access
healthier than 15%
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
95526
Californiashares a border
Score 44.89
Closest healthier
96041
Californiashares a border
Score 41.65
Similar health profile
95919
California99% similar profile
Score 34.39
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 | 37.4% | 33.5–41.3 |
| High blood pressure among adults | 46.2% | 41.5–50.7 |
| Cancer (non-skin) or melanoma among adults | 11.8% | 10.6–13.1 |
| Current asthma among adults | 11.5% | 10.3–12.9 |
| Coronary heart disease among adults | 12.3% | 11.0–13.6 |
| Chronic obstructive pulmonary disease among adults | 14.0% | 12.3–15.8 |
| Depression among adults | 25.8% | 22.1–29.8 |
| Diagnosed diabetes among adults | 18.2% | 15.8–20.6 |
| High cholesterol among adults who have ever been screened | 43.9% | 39.1–48.6 |
| Obesity among adults | 34.9% | 26.5–43.8 |
| Stroke among adults | 6.5% | 5.9–7.2 |
| All teeth lost among adults aged >=65 years | 19.0% | 15.6–22.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.4% | 6.9–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.0% | 77.0–82.6 |
| Visits to doctor for routine checkup within the past year among adults | 76.9% | 73.0–80.4 |
| Cholesterol screening among adults | 86.3% | 84.4–88.0 |
| Colorectal cancer screening among adults aged 45–75 years | 63.5% | 58.1–69.0 |
| Visited dentist or dental clinic in the past year among adults | 51.7% | 47.9–55.8 |
| Mammography use among women aged 50-74 years | 71.0% | 62.7–79.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.8% | 10.3–15.4 |
| Current cigarette smoking among adults | 20.1% | 17.2–23.3 |
| No leisure-time physical activity among adults | 32.7% | 27.4–38.1 |
| Short sleep duration among adults | 35.0% | 28.4–42.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 31.8% | 28.2–35.6 |
| Frequent mental distress among adults | 19.5% | 17.3–21.7 |
| Frequent physical distress among adults | 20.5% | 18.1–22.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.6% | 16.4–20.7 |
| Any disability among adults | 44.2% | 39.2–49.3 |
| Hearing disability among adults | 12.1% | 10.8–13.4 |
| Independent living disability among adults | 13.5% | 12.1–15.1 |
| Mobility disability among adults | 25.7% | 22.6–28.8 |
| Self-care disability among adults | 7.1% | 6.4–8.0 |
| Vision disability among adults | 8.8% | 7.9–9.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.3% | 21.5–29.3 |
| Food insecurity in the past 12 months among adults | 21.6% | 18.5–25.1 |
| Received food stamps in the past 12 months among adults | 26.6% | 22.9–30.4 |
| Housing insecurity in the past 12 months among adults | 14.3% | 12.2–16.5 |
| Lack of reliable transportation in the past 12 months among adults | 11.3% | 9.9–12.8 |
| Loneliness among adults | 33.3% | 28.0–38.8 |
| Utility services shut-off threat in the past 12 months among adults | 9.5% | 8.1–10.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.5% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 3.3% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 22.8% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 4.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 3.7% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.1% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 39.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 9.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 34.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 2.9% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 93.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 26.6% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 57.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $77,796 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,660 | $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 | 79.3 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 79.3, 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