ZIP code
95934
in Crescent Mills, CaliforniaPopulation 63
48.15/ 100
Ranked #18,745 of 32,066 US ZIPs (bottom 42%)
Ranked #1,188 of 1,719 California ZIPs (bottom 31%)
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
9.6%
in the top 0.07% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Housing-cost burden
82%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Park land
60.9%
in the top 1.6% nationally
Higher is healthier
ST95thUS98thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Slow internet speeds
7.7%
in the top 1.7% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Distance to a hazardous-chemical facility
24.6 mi
in the top 3.1% nationally
Higher is healthier
ST97thUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Industrial-pollution burden
in the bottom 3.4% nationally
Lower is healthier
ST9thUS3rdDefinition & 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 ›Home broadband subscription
68%
in the bottom 5.2% nationally
Higher is healthier
ST3rdUS5thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Expected annual disaster loss
$0
in the bottom 7.7% nationally
Lower is healthier
ST3rdUS8thDefinition & 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 ›Air-toxics cancer risk
36 per million
in the top 8.7% nationally
Lower is healthier
ST55thUS91stDefinition & 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
Crescent Mills, California (ZIP 95934), overall, ranks in the bottom 42% nationally (18,745th) and the bottom 31% of California (1,188th).
Reading across the data, the real pressures come first: modeled fine-particle resides in the top 0.07% nationally, housing-cost burden settles in the top 0.5% nationally, and slow internet speeds is in the top 1.7% nationally. Home broadband subscription sits in the bottom 5.2% nationally. More encouragingly, park land lands in the top 1.6% nationally, and homeownership lies at the national maximum. Distance to a hazardous-chemical facility stands in the top 3.1% nationally, and modeled industrial-pollution burden rests in the bottom 3.4% nationally. Unemployment registers at the national minimum, shared with about 15% of ZIPs. Modeled expected annual loss resides in the bottom 7.7% nationally.
Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. ZIP 95971, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 60%
13%
Risk Behavior
healthier than 72%
11%
Climate / Disaster Risk
healthier than 91%
5%
About typical
Mental Health
healthier than 45%
8%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Social Need / SDOH
healthier than 38%
16%
Environmental Hazard
healthier than 15%
14%
Disability
healthier than 31%
7%
Healthcare Access
healthier than 14%
5%
Lifting this score
Preventive Care
healthier than 78%
13%
Climate / Disaster Risk
healthier than 80%
5%
About typical
Social Need / SDOH
healthier than 40%
16%
Environmental Hazard
healthier than 44%
14%
Risk Behavior
healthier than 48%
11%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Mental Health
healthier than 35%
8%
Disability
healthier than 30%
7%
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.
Nearby
95947
Californiashares a border
Score 47.16
Closest healthier
95971
Californiashares a border
Score 50.65
Similar health profile
95986
California96% similar profile
Score 49.26
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 | 33.2% | 29.4–36.8 |
| High blood pressure among adults | 41.3% | 36.7–45.8 |
| Cancer (non-skin) or melanoma among adults | 11.8% | 10.6–13.0 |
| Current asthma among adults | 10.8% | 9.6–12.1 |
| Coronary heart disease among adults | 9.5% | 8.4–10.6 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 7.8–10.5 |
| Depression among adults | 23.5% | 19.9–27.1 |
| Diagnosed diabetes among adults | 14.0% | 12.0–15.9 |
| High cholesterol among adults who have ever been screened | 41.4% | 36.8–46.1 |
| Obesity among adults | 31.6% | 24.1–39.7 |
| Stroke among adults | 4.8% | 4.3–5.3 |
| All teeth lost among adults aged >=65 years | 9.2% | 7.3–11.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 5.6–8.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.5% | 74.2–80.4 |
| Visits to doctor for routine checkup within the past year among adults | 76.4% | 72.5–79.7 |
| Cholesterol screening among adults | 88.6% | 86.9–90.0 |
| Colorectal cancer screening among adults aged 45–75 years | 67.0% | 61.7–72.1 |
| Visited dentist or dental clinic in the past year among adults | 63.6% | 59.8–67.3 |
| Mammography use among women aged 50-74 years | 76.4% | 68.7–83.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.1% | 12.4–18.0 |
| Current cigarette smoking among adults | 14.7% | 12.2–17.3 |
| No leisure-time physical activity among adults | 24.6% | 20.0–29.4 |
| Short sleep duration among adults | 32.8% | 26.3–39.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.7% | 20.4–27.2 |
| Frequent mental distress among adults | 17.1% | 15.0–19.2 |
| Frequent physical distress among adults | 16.6% | 14.5–18.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.8% | 13.0–16.8 |
| Any disability among adults | 36.8% | 31.8–41.6 |
| Hearing disability among adults | 9.6% | 8.4–10.8 |
| Independent living disability among adults | 9.5% | 8.3–10.7 |
| Mobility disability among adults | 18.9% | 16.1–21.7 |
| Self-care disability among adults | 4.8% | 4.3–5.5 |
| Vision disability among adults | 5.7% | 5.1–6.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.8% | 20.1–27.8 |
| Food insecurity in the past 12 months among adults | 13.5% | 11.1–16.1 |
| Received food stamps in the past 12 months among adults | 14.3% | 11.8–16.9 |
| Housing insecurity in the past 12 months among adults | 11.1% | 9.3–13.1 |
| Lack of reliable transportation in the past 12 months among adults | 8.0% | 7.0–9.3 |
| Loneliness among adults | 32.6% | 27.3–38.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.9% | 5.9–8.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 25.4% | 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+) | 25.4% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 0.0% | 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 | 68.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 82.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 100.0% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 60.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 75.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | — | $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
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 74.5 yr ± 2.23 | 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 2.23 years of 74.5, 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