ZIP code
95914
in Bangor, CaliforniaPopulation 409
43.37/ 100
Ranked #24,040 of 32,066 US ZIPs (bottom 25%)
Ranked #1,371 of 1,719 California ZIPs (bottom 20%)
Ranked #10 of 18 Chico, CA ZIPs (bottom 44%)
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
50 per million
in the top 0.9% nationally
Lower is healthier
ST95thUS99thDefinition & 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 ›Industrial-pollution burden
in the bottom 1.4% nationally
Lower is healthier
ST4thUS1stDefinition & 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 ›Fine-particle (PM2.5) exceedance
3.3%
in the top 2.0% nationally
Lower is healthier
ST78thUS98thDefinition & 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 ›Unemployment rate
14.4%
in the top 4.1% nationally
Lower is healthier
ST93rdUS96thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Dry extreme heat
64.6 days/year
in the top 6.7% nationally
Lower is healthier
ST78thUS93rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Tree cover
65.3%
in the top 11.7% nationally
Higher is healthier
ST93rdUS88thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Arsenic in groundwater
1.8%
in the bottom 21% nationally
Lower is healthier
ST5thUS21stDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›The read
By its overall health score, Bangor, California (ZIP 95914) lands in the bottom 25% nationally (24,040th) and the bottom 20% of California (1,371st).
Where this area bears down hardest, the measures speak first: modeled air-toxics cancer risk rests in the top 0.9% nationally, and fine-particle is in the top 2.0% nationally. Unemployment stands in the top 4.1% nationally, and modeled extreme heat settles in the top 6.7% nationally. Fiber broadband lies at the national minimum, shared with about 19% of ZIPs. Housing-cost burden resides in the top 14.3% nationally. On the encouraging side, modeled industrial-pollution burden lands in the bottom 1.4% nationally. Modeled loud transportation noise registers at the national minimum, shared with about 22% of ZIPs. Modeled pfas sits in the bottom 11.2% nationally, and tree cover rests in the top 11.7% nationally.
Weighed against the ZIPs nearby, park land runs far lower than the surrounding ZIPs on this measure. To translate a couple of 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. Overall, the nearest healthier neighbor is ZIP 95918, 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
Risk Behavior
healthier than 60%
11%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Social Need / SDOH
healthier than 30%
16%
Environmental Hazard
healthier than 7%
14%
Preventive Care
healthier than 37%
13%
Mental Health
healthier than 24%
8%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 34%
5%
Healthcare Access
healthier than 30%
5%
Nothing measured is lifting this score.
About typical
Preventive Care
healthier than 59%
13%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Social Need / SDOH
healthier than 34%
16%
Environmental Hazard
healthier than 30%
14%
Risk Behavior
healthier than 36%
11%
Mental Health
healthier than 14%
8%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 30%
5%
Healthcare Access
healthier than 19%
5%
Lifting this score
Environmental Hazard
healthier than 88%
14%
Preventive Care
healthier than 69%
13%
Mental Health
healthier than 63%
8%
Climate / Disaster Risk
healthier than 63%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Risk Behavior
healthier than 44%
11%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Disability
healthier than 38%
7%
Healthcare Access
healthier than 25%
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
95901
Californiashares a border
Score 41.08
Closest healthier
95918
Californiashares a border
Score 50.62
Similar health profile
95249
California92% similar profile
Score 42.73
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 | 32.6% | 29.4–35.8 |
| High blood pressure among adults | 40.6% | 36.8–44.3 |
| Cancer (non-skin) or melanoma among adults | 10.8% | 9.9–11.8 |
| Current asthma among adults | 11.2% | 10.0–12.4 |
| Coronary heart disease among adults | 8.9% | 7.8–9.9 |
| Chronic obstructive pulmonary disease among adults | 10.1% | 8.7–11.6 |
| Depression among adults | 25.5% | 22.3–28.7 |
| Diagnosed diabetes among adults | 14.1% | 12.3–15.9 |
| High cholesterol among adults who have ever been screened | 40.5% | 36.6–44.3 |
| Obesity among adults | 32.1% | 26.5–37.9 |
| Stroke among adults | 4.8% | 4.3–5.3 |
| All teeth lost among adults aged >=65 years | 9.8% | 8.1–11.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.0% | 6.7–9.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.5% | 73.4–79.2 |
| Visits to doctor for routine checkup within the past year among adults | 75.8% | 72.7–78.9 |
| Cholesterol screening among adults | 87.5% | 86.0–88.9 |
| Colorectal cancer screening among adults aged 45–75 years | 64.1% | 59.6–68.2 |
| Visited dentist or dental clinic in the past year among adults | 59.9% | 56.8–62.9 |
| Mammography use among women aged 50-74 years | 73.0% | 66.4–78.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.8–17.6 |
| Current cigarette smoking among adults | 16.9% | 14.4–19.4 |
| No leisure-time physical activity among adults | 26.5% | 22.6–30.6 |
| Short sleep duration among adults | 33.1% | 28.2–38.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.8% | 22.8–29.1 |
| Frequent mental distress among adults | 18.3% | 16.5–20.3 |
| Frequent physical distress among adults | 17.6% | 15.7–19.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.4% | 14.6–18.3 |
| Any disability among adults | 37.0% | 32.9–41.4 |
| Hearing disability among adults | 8.9% | 7.8–9.9 |
| Independent living disability among adults | 10.8% | 9.6–12.1 |
| Mobility disability among adults | 20.1% | 17.7–22.8 |
| Self-care disability among adults | 5.6% | 4.9–6.2 |
| Vision disability among adults | 6.6% | 5.9–7.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.1% | 21.7–28.3 |
| Food insecurity in the past 12 months among adults | 16.9% | 14.4–19.5 |
| Received food stamps in the past 12 months among adults | 18.9% | 16.2–21.7 |
| Housing insecurity in the past 12 months among adults | 13.1% | 11.3–14.9 |
| Lack of reliable transportation in the past 12 months among adults | 9.2% | 8.1–10.3 |
| Loneliness among adults | 33.0% | 28.7–37.4 |
| Utility services shut-off threat in the past 12 months among adults | 8.0% | 6.9–9.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 14.7% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 6.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 22.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 14.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 1.6% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 90.4% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 36.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 83.4% | 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 | 10.8% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 77.8% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 52.6% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 66.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $102,188 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $439,000 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,385 | $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 | 79.7 yr ± 1.81 | 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 1.81 years of 79.7, 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