ZIP code
95453
in Lakeport, CaliforniaPopulation 11,741
48.17/ 100
Ranked #18,724 of 32,066 US ZIPs (bottom 42%)
Ranked #1,187 of 1,719 California ZIPs (bottom 31%)
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.
Natural-disaster risk
in the top 2.7% nationally
Lower is healthier
ST90thUS97thDefinition & 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
2.1%
in the top 4.3% nationally
Lower is healthier
ST66thUS96thDefinition & 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 ›Grocery access
0.25 per 1,000 residents
in the top 4.9% nationally
Higher is healthier
ST97thUS95thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Elder-services access
0.25 per 1,000 residents
in the top 5.6% nationally
Higher is healthier
ST97thUS94thDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Outpatient-care access
0.5 per 1,000 residents
in the top 7.8% nationally
Higher is healthier
ST88thUS92ndDefinition & source ›
The number of outpatient clinics 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 ›Dental provider access
0.92 per 1,000 residents
in the top 8.1% nationally
Higher is healthier
ST81stUS92ndDefinition & source ›
The number of dental offices 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 ›Civic-institution access
0.67 per 1,000 residents
in the top 8.2% nationally
Higher is healthier
ST82ndUS92ndDefinition & 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 ›Air-toxics cancer risk
36.4 per million
in the top 8.5% nationally
Lower is healthier
ST55thUS92ndDefinition & 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 ›Physician access
1.7 per 1,000 residents
in the top 9.7% nationally
Higher is healthier
ST86thUS90thDefinition & source ›
The number of physicians’ offices 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 ›The read
By its overall health score, Lakeport, California (ZIP 95453) lands in the bottom 42% nationally (18,724th) and the bottom 31% of California (1,187th).
Neither strongly one way nor the other, the measures sit mixed: grocery lands in the top 4.9% nationally. Distance to an emergency room registers at the national minimum, shared with about 11% of ZIPs. Elder services sits in the top 5.6% nationally, outpatient rests in the top 7.8% nationally, and dental providers is in the top 8.1% nationally. Civic stands in the top 8.2% nationally. Against that, modeled disaster risk settles in the top 2.7% nationally, fine-particle lies in the top 4.3% nationally, and air-toxics cancer risk resides in the top 8.5% nationally. Fiber broadband lands at the national minimum, shared with about 19% of ZIPs.
Weighed against the ZIPs nearby, park land runs far lower than the surrounding ZIPs on this measure. To translate a couple of terms, 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. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Overall, the nearest healthier neighbor is ZIP 95425, about 0.8 miles away.
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
Risk Behavior
healthier than 68%
11%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 42%
21%
Social Need / SDOH
healthier than 47%
16%
Mental Health
healthier than 41%
8%
Holding it back
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 36%
13%
Disability
healthier than 30%
7%
Climate / Disaster Risk
healthier than 32%
5%
Lifting this score
Healthcare Access
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 47%
16%
Environmental Hazard
healthier than 51%
14%
Preventive Care
healthier than 58%
13%
Risk Behavior
healthier than 44%
11%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Mental Health
healthier than 31%
8%
Disability
healthier than 28%
7%
Climate / Disaster Risk
healthier than 29%
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 ›
Findings that name this ZIP
2 of our published findings list 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 75.6 ± 1.3 years. A median household income of $71,419 predicts 78.8 years — 3.1 years below.
Ranked #4,276 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 75.6 ± 1.3 years. The 50 nearest ZIP codes with estimates average 80.0 years — 4.3 years below them.
Ranked #3,155 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
95449
Californiashares a border
Score 43.06
Closest healthier
95425
Californiaabout 0.8 mi away
Score 58.85
Similar health profile
28159
North Carolina90% similar profile
Score 47.56
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 | 29.8% | 26.5–33.5 |
| High blood pressure among adults | 39.1% | 34.9–43.5 |
| Cancer (non-skin) or melanoma among adults | 10.3% | 9.4–11.3 |
| Current asthma among adults | 10.7% | 9.5–12.1 |
| Coronary heart disease among adults | 8.5% | 7.7–9.5 |
| Chronic obstructive pulmonary disease among adults | 8.6% | 7.6–9.6 |
| Depression among adults | 23.7% | 20.3–27.5 |
| Diagnosed diabetes among adults | 13.4% | 11.7–15.4 |
| High cholesterol among adults who have ever been screened | 38.9% | 34.6–43.6 |
| Obesity among adults | 31.4% | 24.3–39.5 |
| Stroke among adults | 4.5% | 4.1–4.9 |
| All teeth lost among adults aged >=65 years | 12.0% | 9.7–14.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 7.1–9.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.4% | 73.2–79.3 |
| Visits to doctor for routine checkup within the past year among adults | 75.0% | 71.2–78.6 |
| Cholesterol screening among adults | 87.3% | 85.9–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 63.8% | 58.7–68.9 |
| Visited dentist or dental clinic in the past year among adults | 62.0% | 58.5–65.6 |
| Mammography use among women aged 50-74 years | 73.1% | 65.0–80.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.1% | 12.4–18.1 |
| Current cigarette smoking among adults | 14.2% | 12.3–16.3 |
| No leisure-time physical activity among adults | 25.7% | 21.6–30.2 |
| Short sleep duration among adults | 33.7% | 27.7–40.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.2% | 21.4–27.2 |
| Frequent mental distress among adults | 17.4% | 15.6–19.5 |
| Frequent physical distress among adults | 16.3% | 14.5–18.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 13.9–17.3 |
| Any disability among adults | 35.7% | 31.5–40.2 |
| Hearing disability among adults | 8.8% | 7.9–9.9 |
| Independent living disability among adults | 9.9% | 8.9–11.1 |
| Mobility disability among adults | 18.4% | 16.3–20.8 |
| Self-care disability among adults | 4.9% | 4.4–5.4 |
| Vision disability among adults | 6.2% | 5.6–6.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.5% | 21.0–28.6 |
| Food insecurity in the past 12 months among adults | 15.8% | 13.8–18.3 |
| Received food stamps in the past 12 months among adults | 16.4% | 14.4–18.7 |
| Housing insecurity in the past 12 months among adults | 12.7% | 11.0–14.6 |
| Lack of reliable transportation in the past 12 months among adults | 8.8% | 7.9–10.0 |
| Loneliness among adults | 34.1% | 28.9–39.7 |
| Utility services shut-off threat in the past 12 months among adults | 7.4% | 6.4–8.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.0% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 5.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 9.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 20.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 7.2% | 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 | 89.7% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 37.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 78.2% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 4.3% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 6.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 46.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 26.4% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 42.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $71,419 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $403,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,264 | $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 | 75.6 yr ± 0.64 | 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 0.64 years of 75.6, 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