ZIP code
95450
in Jenner, CaliforniaPopulation 224
61.78/ 100
Ranked #3,650 of 32,066 US ZIPs (top 11.4%)
Ranked #422 of 1,719 California ZIPs (top 25%)
Ranked #13 of 34 Santa Rosa-Petaluma, CA ZIPs (top 38%)
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.
Humid extreme heat
3.7 days/year
in the bottom 2.2% nationally
Lower is healthier
ST5thUS2ndDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Industrial-pollution burden
in the bottom 2.2% nationally
Lower is healthier
ST7thUS2ndDefinition & 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 ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Obesity
25.8%
in the bottom 6.8% nationally
Lower is healthier
ST31stUS7thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Loneliness
27.6%
in the bottom 5.4% nationally
Lower is healthier
ST1stUS5thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Distance to a nursing home
13.4 mi
in the top 6.6% nationally
Lower is healthier
ST92ndUS93rdDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Utility shut-off threat
4.4%
in the bottom 6.6% nationally
Lower is healthier
ST15thUS7thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Colon-cancer screening
74%
in the top 4.8% nationally
Higher is healthier
ST99thUS95thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Air-toxics cancer risk
20 per million
in the bottom 8.1% nationally
Lower is healthier
ST2ndUS8thDefinition & 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 ›Median household income
$123,125
in the top 8.7% nationally
Higher is healthier
ST75thUS91stDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
Jenner, California (ZIP 95450), by its composite score, sits in the top 11.4% healthiest ZIPs nationally (3,650th) and the top 25% of California (422nd).
The measures land in both directions, and neither dominates: modeled humid heat rests in the bottom 2.2% nationally, and industrial-pollution burden resides in the bottom 2.2% nationally. Poverty is at the national minimum, and modeled obesity lands in the bottom 6.8% nationally. Modeled loneliness stands in the bottom 5.4% nationally, and utility shutoff registers in the bottom 6.6% nationally. Unemployment settles at the national minimum, shared with about 15% of ZIPs. Modeled colon screening sits in the top 4.8% nationally, and air-toxics cancer risk lies in the bottom 8.1% nationally. Pulling the other way, distance to a nursing home rests in the top 6.6% nationally.
For anyone unfamiliar, 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. For a healthier comparison close by, see ZIP 95465, 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 Santa Rosa-Petaluma, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 86%
16%
Environmental Hazard
healthier than 98%
14%
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 74%
8%
Disability
healthier than 64%
7%
Climate / Disaster Risk
healthier than 96%
5%
About typical
Chronic Disease Burden
healthier than 45%
21%
Holding it back
Healthcare Access
healthier than 20%
5%
Lifting this score
Social Need / SDOH
healthier than 80%
16%
Environmental Hazard
healthier than 97%
14%
Preventive Care
healthier than 99%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 71%
8%
Climate / Disaster Risk
healthier than 92%
5%
About typical
Disability
healthier than 60%
7%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Healthcare Access
healthier than 13%
5%
Lifting this score
Social Need / SDOH
healthier than 66%
16%
Environmental Hazard
healthier than 91%
14%
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 75%
8%
Climate / Disaster Risk
healthier than 81%
5%
Holding it back
Chronic Disease Burden
healthier than 6%
21%
Disability
healthier than 22%
7%
Healthcare Access
healthier than 3%
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
95421
Californiashares a border
Score 59.79
Closest healthier
95465
Californiashares a border
Score 63.65
Similar health profile
28775
North Carolina99% similar profile
Score 56.96
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 | 32.5% | 28.8–36.2 |
| High blood pressure among adults | 39.0% | 34.7–43.2 |
| Cancer (non-skin) or melanoma among adults | 13.1% | 11.9–14.5 |
| Current asthma among adults | 10.3% | 9.1–11.7 |
| Coronary heart disease among adults | 8.4% | 7.3–9.5 |
| Chronic obstructive pulmonary disease among adults | 7.3% | 6.1–8.7 |
| Depression among adults | 23.2% | 19.9–26.7 |
| Diagnosed diabetes among adults | 13.1% | 11.1–15.1 |
| High cholesterol among adults who have ever been screened | 41.4% | 37.0–45.9 |
| Obesity among adults | 25.8% | 20.4–31.9 |
| Stroke among adults | 4.1% | 3.6–4.7 |
| All teeth lost among adults aged >=65 years | 9.1% | 7.4–11.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.7% | 3.7–5.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.3% | 76.9–83.2 |
| Visits to doctor for routine checkup within the past year among adults | 79.5% | 76.2–82.6 |
| Cholesterol screening among adults | 91.8% | 90.6–92.9 |
| Colorectal cancer screening among adults aged 45–75 years | 74.0% | 69.7–78.4 |
| Visited dentist or dental clinic in the past year among adults | 72.3% | 69.3–75.4 |
| Mammography use among women aged 50-74 years | 79.7% | 73.3–85.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.2% | 10.0–14.7 |
| Current cigarette smoking among adults | 9.7% | 7.8–11.8 |
| No leisure-time physical activity among adults | 19.8% | 16.0–23.9 |
| Short sleep duration among adults | 30.0% | 25.2–35.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.3% | 15.4–21.3 |
| Frequent mental distress among adults | 13.9% | 12.1–15.8 |
| Frequent physical distress among adults | 13.9% | 12.0–16.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.1% | 9.6–12.9 |
| Any disability among adults | 29.9% | 25.6–34.5 |
| Hearing disability among adults | 8.2% | 7.1–9.3 |
| Independent living disability among adults | 7.4% | 6.3–8.6 |
| Mobility disability among adults | 16.1% | 13.6–18.9 |
| Self-care disability among adults | 3.8% | 3.3–4.4 |
| Vision disability among adults | 4.4% | 3.9–5.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.5% | 16.5–22.7 |
| Food insecurity in the past 12 months among adults | 9.0% | 7.3–11.0 |
| Received food stamps in the past 12 months among adults | 9.0% | 7.2–11.2 |
| Housing insecurity in the past 12 months among adults | 7.4% | 6.1–8.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.5% | 4.8–6.5 |
| Loneliness among adults | 27.6% | 23.3–32.1 |
| Utility services shut-off threat in the past 12 months among adults | 4.4% | 3.7–5.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 25.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 5.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 44.0% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 6.1% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 78.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 23.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 81.6% | 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 | 12.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 66.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 50.4% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 65.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $123,125 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $871,100 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,114 | $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 | 81.5 yr ± 1.10 | 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 1.10 years of 81.5, 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