ZIP code
93514
in Bishop, CaliforniaPopulation 14,853
55.11/ 100
Ranked #9,321 of 32,066 US ZIPs (top 29%)
Ranked #765 of 1,719 California ZIPs (top 45%)
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.
Industrial-pollution burden
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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
5.0%
in the top 1.1% nationally
Lower is healthier
ST87thUS99thDefinition & 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 ›Park land
66.4%
in the top 1.3% nationally
Higher is healthier
ST96thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Air-toxics cancer risk
18.6 per million
in the bottom 6.9% nationally
Lower is healthier
ST1stUS7thDefinition & 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 ›Distance to a Superfund site
66.2 mi
in the top 7.3% nationally
Higher is healthier
ST98thUS93rdDefinition & 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 ›Walkability
2 intersections/sq mi
in the bottom 7.4% nationally
Higher is healthier
ST8thUS7thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Child-care access
0.49 per 1,000 residents
in the top 11.2% nationally
Higher is healthier
ST93rdUS89thDefinition & source ›
The number of child day-care services inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Radon
2.3 pCi/L
in the top 25% nationally
Lower is healthier
ST99thUS75thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
Overall, Bishop, California (ZIP 93514) lands in the top 29% healthiest ZIPs nationally (9,321st) and the top 45% of California (765th).
The picture here is genuinely mixed, with readings on both sides: modeled industrial-pollution burden registers at the national minimum, and park land rests in the top 1.3% nationally. Distance to an emergency room stands at the national minimum, shared with about 11% of ZIPs. Modeled air-toxics cancer risk lies in the bottom 6.9% nationally, distance to a Superfund site lands in the top 7.3% nationally, and modeled obesity sits in the bottom 12.2% nationally. Childcare is in the top 11.2% nationally. Distance to a community health center settles at the national minimum, shared with about 23% of ZIPs. On the other side, modeled fine-particle resides in the top 1.1% nationally, and walkability registers in the bottom 7.4% nationally.
Set beside the nearby areas, park land runs far higher than the surrounding ZIPs on this measure. A note on the terms: 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. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. For a healthier nearby comparison, ZIP 93546, 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
Chronic Disease Burden
healthier than 65%
21%
Risk Behavior
healthier than 82%
11%
Climate / Disaster Risk
healthier than 95%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Preventive Care
healthier than 52%
13%
Mental Health
healthier than 58%
8%
Disability
healthier than 54%
7%
Holding it back
Environmental Hazard
healthier than 17%
14%
Lifting this score
Preventive Care
healthier than 72%
13%
Risk Behavior
healthier than 65%
11%
Climate / Disaster Risk
healthier than 90%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Environmental Hazard
healthier than 48%
14%
Mental Health
healthier than 52%
8%
Disability
healthier than 51%
7%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
“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
89010
Nevadashares a border
Score 39.79
Closest healthier
93546
Californiashares a border
Score 55.40
Similar health profile
83245
Idaho94% similar profile
Score 56.64
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 | 28.0% | 24.8–31.1 |
| High blood pressure among adults | 34.7% | 30.8–38.6 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.3–11.1 |
| Current asthma among adults | 10.3% | 9.2–11.5 |
| Coronary heart disease among adults | 7.5% | 6.8–8.2 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 6.0–7.6 |
| Depression among adults | 22.5% | 19.3–25.9 |
| Diagnosed diabetes among adults | 12.0% | 10.4–13.5 |
| High cholesterol among adults who have ever been screened | 37.3% | 33.2–41.4 |
| Obesity among adults | 28.3% | 22.0–35.2 |
| Stroke among adults | 3.8% | 3.5–4.1 |
| All teeth lost among adults aged >=65 years | 9.5% | 7.7–11.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.4% | 6.3–8.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.3% | 72.2–78.1 |
| Visits to doctor for routine checkup within the past year among adults | 75.1% | 71.4–78.5 |
| Cholesterol screening among adults | 88.3% | 86.9–89.6 |
| Colorectal cancer screening among adults aged 45–75 years | 66.0% | 61.2–70.7 |
| Visited dentist or dental clinic in the past year among adults | 65.6% | 62.4–68.8 |
| Mammography use among women aged 50-74 years | 76.2% | 68.9–82.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.5% | 12.8–18.4 |
| Current cigarette smoking among adults | 11.8% | 10.2–13.6 |
| No leisure-time physical activity among adults | 22.0% | 18.4–25.8 |
| Short sleep duration among adults | 32.6% | 26.6–38.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.9% | 18.4–23.3 |
| Frequent mental distress among adults | 16.3% | 14.5–18.1 |
| Frequent physical distress among adults | 14.5% | 12.9–16.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.8% | 12.4–15.4 |
| Any disability among adults | 32.7% | 28.8–36.7 |
| Hearing disability among adults | 8.0% | 7.2–8.8 |
| Independent living disability among adults | 8.3% | 7.5–9.2 |
| Mobility disability among adults | 15.3% | 13.5–17.1 |
| Self-care disability among adults | 3.9% | 3.6–4.2 |
| Vision disability among adults | 5.1% | 4.7–5.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.7% | 20.3–27.1 |
| Food insecurity in the past 12 months among adults | 12.9% | 11.2–14.8 |
| Received food stamps in the past 12 months among adults | 12.3% | 10.6–13.9 |
| Housing insecurity in the past 12 months among adults | 11.0% | 9.6–12.5 |
| Lack of reliable transportation in the past 12 months among adults | 7.6% | 6.7–8.4 |
| Loneliness among adults | 32.7% | 27.8–37.8 |
| Utility services shut-off threat in the past 12 months among adults | 6.2% | 5.4–7.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 9.7% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 6.7% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 34.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 2.6% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 5.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 88.7% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 28.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 71.7% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.7% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 7.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 57.2% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 24.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 45.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $81,278 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $422,600 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,401 | $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 | 80.2 yr ± 0.96 | 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 0.96 years of 80.2, 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