ZIP code
94973
in Woodacre, CaliforniaPopulation 1,689
66.28/ 100
Ranked #1,524 of 32,066 US ZIPs (top 4.8%)
Ranked #219 of 1,719 California ZIPs (top 12.8%)
Ranked #81 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 47%)
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.
Median household income
$231,094
in the top 0.6% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Obesity
21.6%
in the bottom 1.7% nationally
Lower is healthier
ST11thUS2ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Utility shut-off threat
3.8%
in the bottom 2.8% nationally
Lower is healthier
ST8thUS3rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Food insecurity
6.8%
in the bottom 3.1% nationally
Lower is healthier
ST4thUS3rdDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Housing insecurity
6.4%
in the bottom 4.0% nationally
Lower is healthier
ST5thUS4thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Lack of transportation
4.6%
in the bottom 4.4% nationally
Lower is healthier
ST5thUS4thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Loneliness
27.4%
in the bottom 4.5% nationally
Lower is healthier
ST1stUS4thDefinition & source ›
The estimated share of adults who report feeling lonely.
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 ›Recreation access
1.3 per 1,000 residents
in the top 4.7% nationally
Higher is healthier
ST92ndUS95thDefinition & 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
Woodacre, California (ZIP 94973), overall, ranks in the top 4.8% healthiest ZIPs nationally (1,524th) and the top 12.8% of California (219th).
This area's measures are easy to read as a mixed set: household income registers in the top 0.6% nationally, modeled obesity resides in the bottom 1.7% nationally, and home broadband subscription settles at the national maximum. Modeled utility shutoff is in the bottom 2.8% nationally, food insecurity sits in the bottom 3.1% nationally, and housing insecurity lands in the bottom 4.0% nationally. Modeled transportation lies in the bottom 4.4% nationally, and loneliness stands in the bottom 4.5% nationally. Lead in tap water rests at the national minimum, and recreation registers in the top 4.7% nationally.
Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, 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 94930, just across the boundary, comes out 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 San Francisco-Oakland-Fremont, 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 68%
21%
Social Need / SDOH
healthier than 92%
16%
Environmental Hazard
healthier than 98%
14%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 84%
7%
Climate / Disaster Risk
healthier than 99%
5%
About typical
Healthcare Access
healthier than 52%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 88%
16%
Environmental Hazard
healthier than 99%
14%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 82%
8%
Disability
healthier than 79%
7%
Climate / Disaster Risk
healthier than 98%
5%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Healthcare Access
healthier than 32%
5%
Lifting this score
Environmental Hazard
healthier than 98%
14%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 83%
11%
Climate / Disaster Risk
healthier than 97%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Mental Health
healthier than 53%
8%
Disability
healthier than 42%
7%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Healthcare Access
healthier than 13%
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
94903
Californiashares a border
Score 64.40
Closest healthier
94930
Californiashares a border
Score 67.12
Similar health profile
95465
California100% similar profile
Score 63.65
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 | 29.6% | 25.9–33.4 |
| High blood pressure among adults | 35.6% | 31.4–40.0 |
| Cancer (non-skin) or melanoma among adults | 12.8% | 11.5–14.0 |
| Current asthma among adults | 10.0% | 8.7–11.3 |
| Coronary heart disease among adults | 7.2% | 6.2–8.4 |
| Chronic obstructive pulmonary disease among adults | 5.8% | 4.6–7.4 |
| Depression among adults | 21.7% | 18.3–25.2 |
| Diagnosed diabetes among adults | 10.6% | 8.9–12.6 |
| High cholesterol among adults who have ever been screened | 40.0% | 35.4–44.6 |
| Obesity among adults | 21.6% | 16.4–27.6 |
| Stroke among adults | 3.5% | 3.0–4.1 |
| All teeth lost among adults aged >=65 years | 8.4% | 6.6–10.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.8% | 2.9–4.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.6% | 75.1–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 77.4% | 73.8–80.7 |
| Cholesterol screening among adults | 92.3% | 91.0–93.5 |
| Colorectal cancer screening among adults aged 45–75 years | 69.9% | 65.4–74.0 |
| Visited dentist or dental clinic in the past year among adults | 74.8% | 71.7–77.7 |
| Mammography use among women aged 50-74 years | 79.1% | 71.9–84.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 11.8–17.3 |
| Current cigarette smoking among adults | 8.1% | 6.1–10.7 |
| No leisure-time physical activity among adults | 16.8% | 13.3–21.2 |
| Short sleep duration among adults | 29.2% | 23.7–34.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.9% | 13.0–19.4 |
| Frequent mental distress among adults | 13.5% | 11.7–15.6 |
| Frequent physical distress among adults | 12.4% | 10.5–14.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.2% | 8.5–12.4 |
| Any disability among adults | 27.6% | 23.2–32.6 |
| Hearing disability among adults | 7.3% | 6.3–8.4 |
| Independent living disability among adults | 6.1% | 5.1–7.5 |
| Mobility disability among adults | 13.0% | 10.6–15.9 |
| Self-care disability among adults | 3.0% | 2.5–3.7 |
| Vision disability among adults | 3.6% | 3.0–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.3% | 16.1–22.7 |
| Food insecurity in the past 12 months among adults | 6.8% | 5.2–8.9 |
| Received food stamps in the past 12 months among adults | 6.5% | 4.7–8.6 |
| Housing insecurity in the past 12 months among adults | 6.4% | 5.0–7.9 |
| Lack of reliable transportation in the past 12 months among adults | 4.6% | 3.8–5.5 |
| Loneliness among adults | 27.4% | 23.1–32.1 |
| Utility services shut-off threat in the past 12 months among adults | 3.8% | 3.0–4.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.5% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.9% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 7.1% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 58.8% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 2.7% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 38.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 91.6% | 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 | 9.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 58.2% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 32.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 58.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $231,094 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,076,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,395 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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