ZIP code
95916
in Berry Creek, CaliforniaPopulation 667
36.92/ 100
Ranked #28,573 of 32,066 US ZIPs (bottom 10.9%)
Ranked #1,581 of 1,719 California ZIPs (bottom 8.1%)
Ranked #15 of 18 Chico, CA ZIPs (bottom 17%)
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.
Air-toxics cancer risk
59.1 per million
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Crowded housing
25.4%
in the top 0.8% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Industrial-pollution burden
in the bottom 1.2% nationally
Lower is healthier
ST3rdUS1stDefinition & 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 ›Unemployment rate
25%
in the top 1.3% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Fine-particle (PM2.5) exceedance
4.1%
in the top 1.5% nationally
Lower is healthier
ST84thUS99thDefinition & 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 ›Poverty rate
46.2%
in the top 2.0% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Park land
28.9%
in the top 4.9% nationally
Higher is healthier
ST85thUS95thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Coronary heart disease
10.8%
in the top 5.1% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Stroke
5.7%
in the top 6.0% nationally
Lower is healthier
ST97thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Median household income
$28,333
in the bottom 1.5% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
In overall standing, Berry Creek, California (ZIP 95916) comes out in the bottom 10.9% nationally (28,573rd) and the bottom 8.1% of California (1,581st).
The data points to real strain across a number of measures here: modeled air-toxics cancer risk resides in the top 0.4% nationally, crowded housing rests in the top 0.8% nationally, and unemployment lies in the top 1.3% nationally. Modeled fine-particle sits in the top 1.5% nationally, poverty settles in the top 2.0% nationally, and modeled coronary heart disease registers in the top 5.1% nationally. Modeled stroke stands in the top 6.0% nationally, and household income lands in the bottom 1.5% nationally. On the brighter side, modeled industrial-pollution burden is in the bottom 1.2% nationally, and park land resides in the top 4.9% nationally.
Relative to the ZIPs around it, crowded housing runs far higher than the surrounding ZIPs on this measure. In plain terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. The nearest healthier ZIP overall is ZIP 95965, 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. Compare it against the US, this state and the Chico, CA metro area.
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 75%
5%
About typical
Risk Behavior
healthier than 40%
11%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 4%
14%
Preventive Care
healthier than 27%
13%
Mental Health
healthier than 20%
8%
Disability
healthier than 10%
7%
Healthcare Access
healthier than 26%
5%
Nothing measured is lifting this score.
About typical
Preventive Care
healthier than 49%
13%
Climate / Disaster Risk
healthier than 55%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 12%
16%
Environmental Hazard
healthier than 20%
14%
Risk Behavior
healthier than 20%
11%
Mental Health
healthier than 10%
8%
Disability
healthier than 9%
7%
Healthcare Access
healthier than 17%
5%
Lifting this score
Climate / Disaster Risk
healthier than 75%
5%
About typical
Environmental Hazard
healthier than 44%
14%
Preventive Care
healthier than 56%
13%
Mental Health
healthier than 44%
8%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 19%
16%
Risk Behavior
healthier than 19%
11%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 19%
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
95965
Californiashares a border
Score 37.89
Closest healthier
95966
Californiashares a border
Score 43.13
Similar health profile
93205
California98% similar profile
Score 33.38
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 | 34.0% | 30.5–37.8 |
| High blood pressure among adults | 44.0% | 39.8–48.4 |
| Cancer (non-skin) or melanoma among adults | 11.1% | 10.0–12.2 |
| Current asthma among adults | 11.3% | 10.0–12.7 |
| Coronary heart disease among adults | 10.8% | 9.7–12.1 |
| Chronic obstructive pulmonary disease among adults | 11.8% | 10.2–13.6 |
| Depression among adults | 25.5% | 22.1–29.3 |
| Diagnosed diabetes among adults | 16.2% | 14.1–18.5 |
| High cholesterol among adults who have ever been screened | 41.6% | 37.4–46.1 |
| Obesity among adults | 33.4% | 26.9–40.5 |
| Stroke among adults | 5.7% | 5.2–6.4 |
| All teeth lost among adults aged >=65 years | 15.4% | 12.6–18.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.2% | 6.7–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.4% | 74.1–80.3 |
| Visits to doctor for routine checkup within the past year among adults | 75.9% | 72.2–79.4 |
| Cholesterol screening among adults | 86.6% | 84.8–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 63.1% | 57.7–68.1 |
| Visited dentist or dental clinic in the past year among adults | 53.9% | 50.0–57.4 |
| Mammography use among women aged 50-74 years | 70.7% | 62.1–78.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.8% | 12.2–17.7 |
| Current cigarette smoking among adults | 19.1% | 16.2–22.3 |
| No leisure-time physical activity among adults | 28.8% | 24.1–33.9 |
| Short sleep duration among adults | 34.8% | 28.8–41.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.9% | 25.3–33.0 |
| Frequent mental distress among adults | 19.0% | 16.9–21.4 |
| Frequent physical distress among adults | 19.1% | 16.8–21.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.7% | 15.6–20.2 |
| Any disability among adults | 40.6% | 35.8–45.6 |
| Hearing disability among adults | 10.7% | 9.5–12.0 |
| Independent living disability among adults | 12.0% | 10.6–13.7 |
| Mobility disability among adults | 22.7% | 19.8–25.9 |
| Self-care disability among adults | 6.5% | 5.7–7.4 |
| Vision disability among adults | 7.7% | 6.8–8.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.0% | 22.5–30.1 |
| Food insecurity in the past 12 months among adults | 19.2% | 16.1–22.5 |
| Received food stamps in the past 12 months among adults | 22.1% | 18.9–25.8 |
| Housing insecurity in the past 12 months among adults | 14.1% | 12.1–16.3 |
| Lack of reliable transportation in the past 12 months among adults | 10.5% | 9.2–12.0 |
| Loneliness among adults | 33.2% | 28.5–38.3 |
| Utility services shut-off threat in the past 12 months among adults | 8.9% | 7.7–10.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 46.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 15.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 15.8% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 12.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 25.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 1.1% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 89.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 32.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 89.3% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 25.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 1.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 29.8% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 31.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 52.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $28,333 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $206,000 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,242 | $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 | 76.7 yr ± 1.69 | 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 1.69 years of 76.7, 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