ZIP code
95776
in Woodland, CaliforniaPopulation 28,718
54.30/ 100
Ranked #10,308 of 32,066 US ZIPs (top 32%)
Ranked #817 of 1,719 California ZIPs (top 48%)
Ranked #51 of 122 Sacramento-Roseville-Folsom, CA ZIPs (top 42%)
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.
Floodplain exposure
84.6%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Subsidized affordable housing
604 units
in the top 3.5% nationally
Higher is healthier
ST91stUS97thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Natural-disaster risk
in the top 3.7% nationally
Lower is healthier
ST85thUS96thDefinition & 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 ›Air-toxics cancer risk
40 per million
in the top 4.5% nationally
Lower is healthier
ST73rdUS96thDefinition & 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 ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & 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 ›Dry extreme heat
81.4 days/year
in the top 4.8% nationally
Lower is healthier
ST82ndUS95thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Fine-particle (PM2.5) exceedance
1.9%
in the top 5.0% nationally
Lower is healthier
ST63rdUS95thDefinition & 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 ›High blood pressure
26.7%
in the bottom 4.4% nationally
Lower is healthier
ST11thUS4thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Crowded housing
7.7%
in the top 7.2% nationally
Lower is healthier
ST67thUS93rdDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›The read
By the composite measure, ZIP 95776, one of several in Woodland, California sits in the top 32% healthiest ZIPs nationally (10,308th) and the top 48% of California (817th).
The profile cuts both ways, and the readings bear that out: subsidized affordable housing is in the top 3.5% nationally, lead in tap water rests at the national minimum, and modeled high blood pressure sits in the bottom 4.4% nationally. Working the other way, floodplain exposure registers in the top 0.9% nationally, modeled disaster risk lands in the top 3.7% nationally, and modeled air-toxics cancer risk resides in the top 4.5% nationally. Modeled extreme heat lies in the top 4.8% nationally, and tree cover settles at the national minimum. Modeled fine-particle stands in the top 5.0% nationally, and crowded housing is in the top 7.2% nationally.
In plain language, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. ZIP 95618, just across the boundary, ranks healthier overall.
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 Sacramento-Roseville-Folsom, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 95%
21%
Social Need / SDOH
healthier than 66%
16%
Risk Behavior
healthier than 81%
11%
Disability
healthier than 71%
7%
Healthcare Access
healthier than 87%
5%
About typical
Mental Health
healthier than 59%
8%
Holding it back
Environmental Hazard
healthier than 12%
14%
Preventive Care
healthier than 12%
13%
Climate / Disaster Risk
in the bottom 0.2%
5%
Lifting this score
Chronic Disease Burden
healthier than 84%
21%
Social Need / SDOH
healthier than 61%
16%
Risk Behavior
healthier than 62%
11%
Disability
healthier than 66%
7%
Healthcare Access
healthier than 71%
5%
About typical
Environmental Hazard
healthier than 41%
14%
Mental Health
healthier than 53%
8%
Holding it back
Preventive Care
healthier than 33%
13%
Climate / Disaster Risk
healthier than 1%
5%
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Environmental Hazard
healthier than 64%
14%
Mental Health
healthier than 61%
8%
Disability
healthier than 64%
7%
Healthcare Access
healthier than 75%
5%
About typical
Social Need / SDOH
healthier than 48%
16%
Risk Behavior
healthier than 52%
11%
Holding it back
Preventive Care
healthier than 22%
13%
Climate / Disaster Risk
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 ›
Findings that name this ZIP
4 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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 82.8 ± 1.8 years. A median household income of $106,698 predicts 80.3 years — 2.5 years above.
Ranked #646 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 82.8 ± 1.8 years. The 45 nearest ZIP codes with estimates average 79.8 years — 3.0 years above them.
Ranked #819 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 12.4; chronic-disease standing 94.6 (top 10%) — 82 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,352 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 82.8 ± 1.8 years.
Ranked #504 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
95618
Californiashares a border
Score 59.30
Closest healthier
95835
Californiaabout 3.6 mi away
Score 60.37
Similar health profile
95337
California98% similar profile
Score 52.56
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 | 19.0% | 16.6–21.6 |
| High blood pressure among adults | 26.7% | 23.3–30.3 |
| Cancer (non-skin) or melanoma among adults | 5.4% | 4.9–6.0 |
| Current asthma among adults | 9.4% | 8.3–10.6 |
| Coronary heart disease among adults | 4.7% | 4.3–5.3 |
| Chronic obstructive pulmonary disease among adults | 4.4% | 3.9–4.9 |
| Depression among adults | 21.8% | 18.7–25.3 |
| Diagnosed diabetes among adults | 10.2% | 8.9–11.7 |
| High cholesterol among adults who have ever been screened | 32.7% | 28.8–36.9 |
| Obesity among adults | 27.2% | 21.4–33.9 |
| Stroke among adults | 2.7% | 2.4–2.9 |
| All teeth lost among adults aged >=65 years | 9.4% | 7.5–11.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.4% | 9.8–13.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 68.4% | 64.9–71.9 |
| Visits to doctor for routine checkup within the past year among adults | 70.5% | 66.5–74.5 |
| Cholesterol screening among adults | 84.5% | 82.6–86.2 |
| Colorectal cancer screening among adults aged 45–75 years | 58.0% | 52.9–63.1 |
| Visited dentist or dental clinic in the past year among adults | 63.8% | 60.3–67.1 |
| Mammography use among women aged 50-74 years | 74.0% | 66.2–80.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.1% | 14.3–20.4 |
| Current cigarette smoking among adults | 10.3% | 8.8–11.9 |
| No leisure-time physical activity among adults | 24.2% | 20.5–28.3 |
| Short sleep duration among adults | 30.6% | 25.3–36.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.0% | 18.5–23.7 |
| Frequent mental distress among adults | 16.7% | 14.8–18.7 |
| Frequent physical distress among adults | 12.8% | 11.3–14.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.7% | 13.0–16.5 |
| Any disability among adults | 28.6% | 24.9–32.7 |
| Hearing disability among adults | 5.2% | 4.6–5.8 |
| Independent living disability among adults | 7.6% | 6.7–8.4 |
| Mobility disability among adults | 12.2% | 10.7–13.9 |
| Self-care disability among adults | 3.5% | 3.2–3.8 |
| Vision disability among adults | 5.3% | 4.8–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.1% | 24.4–32.0 |
| Food insecurity in the past 12 months among adults | 17.6% | 15.4–20.2 |
| Received food stamps in the past 12 months among adults | 14.1% | 12.3–16.1 |
| Housing insecurity in the past 12 months among adults | 15.0% | 13.1–17.1 |
| Lack of reliable transportation in the past 12 months among adults | 9.2% | 8.2–10.4 |
| Loneliness among adults | 35.9% | 30.9–40.9 |
| Utility services shut-off threat in the past 12 months among adults | 7.3% | 6.4–8.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.0% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 4.3% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 16.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 35.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.7% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 94.4% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 31.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 68.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 7.7% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 25.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 41.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 10.7% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 34.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $106,698 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $575,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,749 | $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 | 82.8 yr ± 0.90 | 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 0.90 years of 82.8, 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