ZIP code
96105
in Chilcoot, CaliforniaPopulation 799
41.90/ 100
Ranked #25,299 of 32,066 US ZIPs (bottom 21%)
Ranked #1,436 of 1,719 California ZIPs (bottom 16%)
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
6.5%
in the top 0.6% nationally
Lower is healthier
ST93rdUS99thDefinition & 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 ›Crowded housing
17.7%
in the top 1.6% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Housing-cost burden
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Park land
42.1%
in the top 3.1% nationally
Higher is healthier
ST90thUS97thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Slow internet speeds
3.4%
in the top 3.5% nationally
Lower is healthier
ST93rdUS97thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Unemployment rate
11.3%
in the top 7.4% nationally
Lower is healthier
ST88thUS93rdDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Energy-cost burden
5.2%
in the top 7.1% nationally
Lower is healthier
ST99thUS93rdDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Median household income
$122,750
in the top 8.8% nationally
Higher is healthier
ST75thUS91stDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Mobility disability
21.1%
in the top 12.9% nationally
Lower is healthier
ST90thUS87thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Stroke
5.1%
in the top 12.8% nationally
Lower is healthier
ST92ndUS87thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›The read
Overall, Chilcoot, California (ZIP 96105) lands in the bottom 21% nationally (25,299th) and the bottom 16% of California (1,436th).
Several measures weigh most on this area's profile, and they come first: modeled fine-particle registers in the top 0.6% nationally, and crowded housing rests in the top 1.6% nationally. Slow internet speeds stands in the top 3.5% nationally, and unemployment lies in the top 7.4% nationally. Modeled energy burden lands in the top 7.1% nationally. Fiber broadband sits at the national minimum, shared with about 19% of ZIPs. On the better side, housing-cost burden is at the national minimum, and park land settles in the top 3.1% nationally. Households without a vehicle resides at the national minimum, shared with about 16% of ZIPs. Household income registers in the top 8.8% nationally.
Set beside the nearby areas, crowded housing runs far higher than the surrounding ZIPs on this measure. A note on the terms: fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Energy burden is the share of household income that goes to home energy bills. For a healthier nearby comparison, ZIP 89439, just across the boundary, ranks better 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 96%
5%
About typical
Preventive Care
healthier than 47%
13%
Risk Behavior
healthier than 54%
11%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 10%
16%
Environmental Hazard
healthier than 19%
14%
Mental Health
healthier than 13%
8%
Disability
healthier than 16%
7%
Healthcare Access
healthier than 25%
5%
Lifting this score
Preventive Care
healthier than 67%
13%
Climate / Disaster Risk
healthier than 93%
5%
About typical
Environmental Hazard
healthier than 50%
14%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 16%
16%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 16%
7%
Healthcare Access
healthier than 16%
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
89439
Nevadashares a border
Score 54.25
Closest healthier
96118
Californiashares a border
Score 46.48
Similar health profile
95526
California96% similar profile
Score 44.89
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 | 33.4% | 30.5–36.5 |
| High blood pressure among adults | 40.6% | 37.1–44.3 |
| Cancer (non-skin) or melanoma among adults | 10.8% | 9.9–11.7 |
| Current asthma among adults | 11.8% | 10.7–13.0 |
| Coronary heart disease among adults | 9.4% | 8.5–10.3 |
| Chronic obstructive pulmonary disease among adults | 10.8% | 9.5–12.2 |
| Depression among adults | 26.4% | 23.4–29.7 |
| Diagnosed diabetes among adults | 14.4% | 12.8–16.1 |
| High cholesterol among adults who have ever been screened | 40.4% | 36.9–44.1 |
| Obesity among adults | 33.5% | 27.7–40.2 |
| Stroke among adults | 5.1% | 4.6–5.5 |
| All teeth lost among adults aged >=65 years | 14.4% | 12.2–16.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.8% | 5.5–8.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.0% | 74.4–79.3 |
| Visits to doctor for routine checkup within the past year among adults | 75.5% | 72.5–78.4 |
| Cholesterol screening among adults | 86.9% | 85.2–88.4 |
| Colorectal cancer screening among adults aged 45–75 years | 66.5% | 62.2–70.6 |
| Visited dentist or dental clinic in the past year among adults | 62.8% | 59.8–65.9 |
| Mammography use among women aged 50-74 years | 74.2% | 68.0–79.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.6% | 12.6–17.0 |
| Current cigarette smoking among adults | 17.6% | 15.1–20.4 |
| No leisure-time physical activity among adults | 27.7% | 23.8–32.0 |
| Short sleep duration among adults | 33.8% | 28.7–39.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.8% | 23.7–30.0 |
| Frequent mental distress among adults | 19.7% | 17.8–21.7 |
| Frequent physical distress among adults | 18.3% | 16.4–20.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.5% | 15.6–19.6 |
| Any disability among adults | 39.5% | 35.5–43.8 |
| Hearing disability among adults | 9.4% | 8.4–10.3 |
| Independent living disability among adults | 11.7% | 10.4–13.0 |
| Mobility disability among adults | 21.1% | 18.7–23.6 |
| Self-care disability among adults | 5.7% | 5.1–6.4 |
| Vision disability among adults | 6.7% | 6.0–7.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.6% | 21.5–28.0 |
| Food insecurity in the past 12 months among adults | 17.2% | 14.7–20.2 |
| Received food stamps in the past 12 months among adults | 20.1% | 17.2–23.6 |
| Housing insecurity in the past 12 months among adults | 13.0% | 11.2–14.9 |
| Lack of reliable transportation in the past 12 months among adults | 9.5% | 8.4–10.8 |
| Loneliness among adults | 34.4% | 30.0–38.8 |
| Utility services shut-off threat in the past 12 months among adults | 8.2% | 7.2–9.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 42.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 11.3% | 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 | 89.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 0.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 90.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 17.7% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 28.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 21.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 30.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $122,750 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $447,200 | $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
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 77.8 yr ± 1.08 | 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 1.08 years of 77.8, 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