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ZipVitals

ZIP code

95486

in Villa Grande, CaliforniaPopulation 17

58.73/ 100

Ranked #5,808 of 32,066 US ZIPs (top 18%)

Ranked #575 of 1,719 California ZIPs (top 33%)

Ranked #29 of 34 Santa Rosa-Petaluma, CA ZIPs (bottom 14.8%)

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.

Walkability

720 intersections/sq mi

in the top 0.02% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Housing-cost burden

100%

at the national maximum

Lower is healthier

ST99th
US99th
Definition & source ›

The share of households spending 30% or more of their income on housing.

Full methodology ›

Expected annual disaster loss

$0

in the bottom 1.4% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.

Full methodology ›

Outer-floodplain exposure

26.4%

in the top 1.6% nationally

Lower is healthier

ST95th
US98th
Definition & source ›

The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.

Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.

Full methodology ›

Floodplain exposure

70%

in the top 1.7% nationally

Lower is healthier

ST98th
US98th
Definition & source ›

The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.

Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.

Full methodology ›

Transportation noise

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & source ›

The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.

Full methodology ›

Poverty rate

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & source ›

The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.

Full methodology ›

Home broadband subscription

100%

at the national maximum

Higher is healthier

ST99th
US99th
Definition & source ›

The share of households with a broadband internet subscription.

Full methodology ›

Homeownership rate

29.4%

in the bottom 3.1% nationally

Higher is healthier

ST8th
US3rd
Definition & source ›

The share of occupied homes that are owned, rather than rented, by the people living in them.

Full methodology ›

Industrial-pollution burden

in the bottom 3.9% nationally

Lower is healthier

ST9th
US4th
Definition & 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 ›

The read

Villa Grande, California (ZIP 95486), by its overall standing, sits in the top 18% healthiest ZIPs nationally (5,808th) and the top 33% of California (575th).

continue reading

The profile opens balanced, with readings on either hand: walkability lies in the top 0.02% nationally, modeled expected annual loss sits in the bottom 1.4% nationally, and modeled transportation noise settles at the national minimum. Poverty registers at the national minimum, home broadband subscription stands at the national maximum, and modeled industrial-pollution burden lands in the bottom 3.9% nationally. Modeled tooth loss is in the bottom 1.8% nationally. By contrast, housing-cost burden resides at the national maximum, and outer-floodplain exposure rests in the top 1.6% nationally. Floodplain exposure lies in the top 1.7% nationally.

Held up against its neighbors, walkability runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". The nearest ZIP ranking healthier overall is ZIP 95465, about 0.4 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. 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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 62%

21%

Social Need / SDOH

healthier than 79%

16%

Environmental Hazard

healthier than 97%

14%

Preventive Care

healthier than 85%

13%

Risk Behavior

healthier than 88%

11%

Mental Health

healthier than 79%

8%

Disability

healthier than 67%

7%

Holding it back

Climate / Disaster Risk

healthier than 10%

5%

Healthcare Access

healthier than 27%

5%

Lifting this score

Social Need / SDOH

healthier than 73%

16%

Environmental Hazard

healthier than 97%

14%

Preventive Care

healthier than 94%

13%

Risk Behavior

healthier than 74%

11%

Mental Health

healthier than 77%

8%

Disability

healthier than 63%

7%

Holding it back

Chronic Disease Burden

healthier than 28%

21%

Climate / Disaster Risk

healthier than 9%

5%

Healthcare Access

healthier than 18%

5%

Lifting this score

Environmental Hazard

healthier than 84%

14%

Preventive Care

healthier than 75%

13%

Mental Health

healthier than 84%

8%

About typical

Risk Behavior

healthier than 44%

11%

Holding it back

Chronic Disease Burden

healthier than 19%

21%

Social Need / SDOH

healthier than 28%

16%

Disability

healthier than 38%

7%

Climate / Disaster Risk

in the bottom 0.00%

5%

Healthcare Access

healthier than 9%

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.

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 adults29.2%25.3–33.2
High blood pressure among adults38.2%33.6–43.0
Cancer (non-skin) or melanoma among adults11.5%10.1–12.8
Current asthma among adults9.7%8.5–11.1
Coronary heart disease among adults8.1%6.7–9.7
Chronic obstructive pulmonary disease among adults6.9%5.1–9.1
Depression among adults21.6%18.3–25.2
Diagnosed diabetes among adults12.1%9.9–14.5
High cholesterol among adults who have ever been screened39.1%34.6–43.7
Obesity among adults27.0%21.0–33.7
Stroke among adults3.9%3.2–4.8
All teeth lost among adults aged >=65 years4.8%3.8–6.1
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years4.7%3.2–6.8
Taking medicine to control high blood pressure among adults with high blood pressure76.5%72.4–80.0
Visits to doctor for routine checkup within the past year among adults76.4%72.6–79.9
Cholesterol screening among adults90.6%88.5–92.2
Colorectal cancer screening among adults aged 45–75 years73.8%69.5–78.1
Visited dentist or dental clinic in the past year among adults69.6%66.4–72.9
Mammography use among women aged 50-74 years77.7%70.9–84.1
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.9%12.2–17.8
Current cigarette smoking among adults11.7%8.0–16.3
No leisure-time physical activity among adults18.8%14.5–24.4
Short sleep duration among adults33.1%28.0–38.9
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults18.1%14.2–23.1
Frequent mental distress among adults14.3%12.0–16.8
Frequent physical distress among adults13.7%11.2–16.6
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults11.7%9.5–14.5
Any disability among adults29.4%24.2–35.6
Hearing disability among adults8.0%6.7–9.5
Independent living disability among adults7.1%5.7–8.9
Mobility disability among adults14.8%11.7–18.6
Self-care disability among adults3.8%3.0–4.9
Vision disability among adults4.3%3.5–5.3
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults22.4%18.2–27.0
Food insecurity in the past 12 months among adults9.3%6.6–12.8
Received food stamps in the past 12 months among adults8.9%6.2–12.4
Housing insecurity in the past 12 months among adults8.3%6.3–10.6
Lack of reliable transportation in the past 12 months among adults6.1%4.8–7.6
Loneliness among adults28.3%23.8–33.1
Utility services shut-off threat in the past 12 months among adults5.0%3.9–6.3
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate0.0%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–640.0%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)0.0%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)70.6%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)0.0%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle0.0%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription100.0%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)100.0%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate29.4%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population0.0%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+29.4%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$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$1,021 ($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 birth79.5 yr ± 2.0478.9 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 2.04 years of 79.5, 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