ZIP code
96094
in Weed, CaliforniaPopulation 6,656
50.25/ 100
Ranked #15,897 of 32,066 US ZIPs (top 50%)
Ranked #1,053 of 1,719 California ZIPs (bottom 39%)
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.
Fine-particle (PM2.5) exceedance
8.3%
in the top 0.3% nationally
Lower is healthier
ST97thUS99thDefinition & 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 ›Natural-disaster risk
in the top 1.3% nationally
Lower is healthier
ST95thUS99thDefinition & 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 ›Distance to a Superfund site
In this ZIP
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Industrial-pollution burden
in the bottom 1.8% nationally
Lower is healthier
ST6thUS2ndDefinition & 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 ›Park land
32.3%
in the top 4.4% nationally
Higher is healthier
ST86thUS96thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Unemployment rate
10.6%
in the top 8.5% nationally
Lower is healthier
ST86thUS92ndDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Air-toxics cancer risk
20 per million
in the bottom 25% nationally
Lower is healthier
ST8thUS25thDefinition & 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 ›The read
Weed, California (ZIP 96094) ranks in the top 50% healthiest ZIPs nationally (15,897th) and the bottom 39% of California (1,053rd).
A balanced set of signals defines this area, not any single one: modeled industrial-pollution burden resides in the bottom 1.8% nationally, and park land stands in the top 4.4% nationally. Civic sits in the top 10.4% nationally. Distance to a community health center resides at the national minimum, shared with about 23% of ZIPs. By contrast, modeled fine-particle stands in the top 0.3% nationally, modeled disaster risk sits in the top 1.3% nationally, and distance to a Superfund site resides at the national minimum. Unemployment stands in the top 8.5% nationally, housing-cost burden sits in the top 10.6% nationally, and modeled loud transportation noise resides in the top 11.7% nationally.
Against its neighbors, park land runs far lower than the surrounding ZIPs on this measure. For context, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. The closest ZIP that ranks healthier overall is ZIP 96034, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Risk Behavior
healthier than 71%
11%
Climate / Disaster Risk
healthier than 83%
5%
Healthcare Access
healthier than 81%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Social Need / SDOH
healthier than 54%
16%
Holding it back
Environmental Hazard
healthier than 19%
14%
Preventive Care
healthier than 37%
13%
Mental Health
healthier than 33%
8%
Disability
healthier than 37%
7%
Lifting this score
Climate / Disaster Risk
healthier than 65%
5%
Healthcare Access
healthier than 61%
5%
About typical
Social Need / SDOH
healthier than 53%
16%
Environmental Hazard
healthier than 50%
14%
Preventive Care
healthier than 60%
13%
Risk Behavior
healthier than 47%
11%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Mental Health
healthier than 23%
8%
Disability
healthier than 35%
7%
“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 76.2 ± 1.3 years. A median household income of $68,103 predicts 78.6 years — 2.4 years below.
Ranked #3,232 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 76.2 ± 1.3 years. The 49 nearest ZIP codes with estimates average 80.2 years — 4.0 years below them.
Ranked #3,004 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
96034
Californiashares a border
Score 50.75
Closest healthier
96067
Californiashares a border
Score 54.36
Similar health profile
19374
Pennsylvania98% similar profile
Score 50.94
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 | 29.5% | 26.2–32.9 |
| High blood pressure among adults | 36.8% | 32.5–40.9 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.0–10.9 |
| Current asthma among adults | 11.1% | 9.8–12.4 |
| Coronary heart disease among adults | 8.0% | 7.1–8.8 |
| Chronic obstructive pulmonary disease among adults | 8.1% | 7.1–9.1 |
| Depression among adults | 24.1% | 20.5–27.8 |
| Diagnosed diabetes among adults | 12.8% | 11.0–14.5 |
| High cholesterol among adults who have ever been screened | 38.6% | 34.1–43.1 |
| Obesity among adults | 31.0% | 23.6–38.8 |
| Stroke among adults | 4.2% | 3.8–4.6 |
| All teeth lost among adults aged >=65 years | 10.3% | 8.2–12.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 5.9–8.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.7% | 72.4–78.6 |
| Visits to doctor for routine checkup within the past year among adults | 75.0% | 71.0–78.5 |
| Cholesterol screening among adults | 86.7% | 85.1–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 64.6% | 59.1–69.8 |
| Visited dentist or dental clinic in the past year among adults | 61.0% | 57.2–64.6 |
| Mammography use among women aged 50-74 years | 73.9% | 65.6–81.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.5% | 12.6–18.5 |
| Current cigarette smoking among adults | 13.6% | 11.5–15.7 |
| No leisure-time physical activity among adults | 24.0% | 19.9–28.4 |
| Short sleep duration among adults | 34.0% | 27.4–41.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.9% | 19.9–25.9 |
| Frequent mental distress among adults | 18.0% | 15.9–20.0 |
| Frequent physical distress among adults | 15.7% | 13.8–17.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 13.7–17.4 |
| Any disability among adults | 35.0% | 30.5–39.5 |
| Hearing disability among adults | 8.1% | 7.2–9.1 |
| Independent living disability among adults | 9.5% | 8.4–10.7 |
| Mobility disability among adults | 17.2% | 15.0–19.5 |
| Self-care disability among adults | 4.6% | 4.1–5.1 |
| Vision disability among adults | 5.7% | 5.1–6.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.5% | 21.1–28.5 |
| Food insecurity in the past 12 months among adults | 14.9% | 12.8–17.4 |
| Received food stamps in the past 12 months among adults | 15.5% | 13.3–17.9 |
| Housing insecurity in the past 12 months among adults | 11.9% | 10.3–13.8 |
| Lack of reliable transportation in the past 12 months among adults | 8.6% | 7.5–9.7 |
| Loneliness among adults | 33.3% | 28.3–38.7 |
| Utility services shut-off threat in the past 12 months among adults | 7.1% | 6.1–8.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.3% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 8.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 8.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 24.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 10.6% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 5.1% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 89.4% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 39.6% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 71.0% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 1.7% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 7.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 58.8% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 24.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 48.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $68,103 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $332,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,022 | $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 | 76.2 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 76.2, 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