ZIP code
93513
in Big Pine, CaliforniaPopulation 1,632
49.07/ 100
Ranked #17,552 of 32,066 US ZIPs (bottom 45%)
Ranked #1,133 of 1,719 California ZIPs (bottom 34%)
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
4.4%
in the top 1.3% nationally
Lower is healthier
ST85thUS99thDefinition & 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 ›Air-toxics cancer risk
10 per million
in the bottom 2.8% nationally
Lower is healthier
ST1stUS3rdDefinition & 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 ›Walkability
1.1 intersections/sq mi
in the bottom 2.9% nationally
Higher is healthier
ST2ndUS3rdDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Park land
44.5%
in the top 2.9% nationally
Higher is healthier
ST91stUS97thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Arsenic in groundwater
22.6%
in the top 5.3% nationally
Lower is healthier
ST94thUS95thDefinition & 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 ›Distance to a hazardous-chemical facility
17.5 mi
in the top 6.2% nationally
Higher is healthier
ST94thUS94thDefinition & 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 ›Distance to a Superfund site
70.5 mi
in the top 6.5% nationally
Higher is healthier
ST99thUS94thDefinition & 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 ›Distance to a nursing home
13.4 mi
in the top 6.6% nationally
Lower is healthier
ST91stUS93rdDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Distance to a community health center
13.1 mi
in the top 14.7% nationally
Lower is healthier
ST94thUS85thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›The read
Judged by its overall standing, Big Pine, California (ZIP 93513) sits in the bottom 45% nationally (17,552nd) and the bottom 34% of California (1,133rd).
A few readings account for most of this area's strain: modeled fine-particle is in the top 1.3% nationally, walkability lies in the bottom 2.9% nationally, and modeled arsenic registers in the top 5.3% nationally. Distance to a nursing home is in the top 6.6% nationally. On the better side, modeled industrial-pollution burden lies at the national minimum, and air-toxics cancer risk registers in the bottom 2.8% nationally. Park land is in the top 2.9% nationally, and distance to a hazardous-chemical facility lies in the top 6.2% nationally. Distance to a Superfund site registers in the top 6.5% nationally, and floodplain exposure is in the bottom 14.0% nationally.
Placed beside its immediate neighbors, park land runs far higher than the surrounding ZIPs on this measure. Put plainly, 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. A healthier nearby ZIP overall is ZIP 93514, 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.
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 63%
21%
Risk Behavior
healthier than 61%
11%
Climate / Disaster Risk
healthier than 85%
5%
About typical
Disability
healthier than 41%
7%
Holding it back
Social Need / SDOH
healthier than 21%
16%
Environmental Hazard
healthier than 30%
14%
Preventive Care
healthier than 35%
13%
Mental Health
healthier than 25%
8%
Healthcare Access
healthier than 9%
5%
Lifting this score
Environmental Hazard
healthier than 62%
14%
Climate / Disaster Risk
healthier than 68%
5%
About typical
Preventive Care
healthier than 57%
13%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Social Need / SDOH
healthier than 27%
16%
Risk Behavior
healthier than 36%
11%
Mental Health
healthier than 15%
8%
Disability
healthier than 38%
7%
Healthcare Access
healthier than 5%
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
93514
Californiashares a border
Score 55.11
Closest healthier
93628
Californiaabout 19 mi away
Score 49.57
Similar health profile
95389
California91% similar profile
Score 49.58
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 | 27.5% | 24.2–31.0 |
| High blood pressure among adults | 34.1% | 30.1–38.3 |
| Cancer (non-skin) or melanoma among adults | 9.1% | 8.2–10.1 |
| Current asthma among adults | 11.4% | 10.0–12.7 |
| Coronary heart disease among adults | 7.3% | 6.4–8.2 |
| Chronic obstructive pulmonary disease among adults | 7.3% | 6.3–8.5 |
| Depression among adults | 24.4% | 20.8–28.2 |
| Diagnosed diabetes among adults | 12.2% | 10.4–14.0 |
| High cholesterol among adults who have ever been screened | 35.8% | 31.5–40.2 |
| Obesity among adults | 29.9% | 22.7–38.0 |
| Stroke among adults | 3.9% | 3.5–4.3 |
| All teeth lost among adults aged >=65 years | 10.0% | 7.9–12.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.5% | 6.1–9.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.2% | 69.6–76.3 |
| Visits to doctor for routine checkup within the past year among adults | 73.4% | 69.1–77.3 |
| Cholesterol screening among adults | 86.4% | 84.4–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 64.9% | 59.4–70.1 |
| Visited dentist or dental clinic in the past year among adults | 64.3% | 60.6–67.9 |
| Mammography use among women aged 50-74 years | 75.3% | 67.0–82.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 13.2–19.4 |
| Current cigarette smoking among adults | 15.1% | 12.7–17.7 |
| No leisure-time physical activity among adults | 23.7% | 19.5–28.1 |
| Short sleep duration among adults | 34.7% | 28.0–41.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.0% | 19.9–26.1 |
| Frequent mental distress among adults | 18.9% | 16.7–21.2 |
| Frequent physical distress among adults | 15.7% | 13.8–17.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.0% | 14.0–18.1 |
| Any disability among adults | 35.2% | 30.5–40.0 |
| Hearing disability among adults | 7.9% | 7.0–8.9 |
| Independent living disability among adults | 9.5% | 8.3–10.7 |
| Mobility disability among adults | 16.1% | 13.8–18.5 |
| Self-care disability among adults | 4.2% | 3.7–4.7 |
| Vision disability among adults | 5.6% | 5.0–6.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.3% | 22.2–30.5 |
| Food insecurity in the past 12 months among adults | 16.3% | 13.5–19.4 |
| Received food stamps in the past 12 months among adults | 15.7% | 13.0–18.7 |
| Housing insecurity in the past 12 months among adults | 13.7% | 11.5–16.1 |
| Lack of reliable transportation in the past 12 months among adults | 9.5% | 8.2–10.9 |
| Loneliness among adults | 35.0% | 29.3–40.7 |
| Utility services shut-off threat in the past 12 months among adults | 7.9% | 6.7–9.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.1% | 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+) | 24.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 3.2% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.7% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 81.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 28.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 74.5% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.8% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 2.5% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 45.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 19.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 42.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $67,292 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $330,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,202 | $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 | 79.5 yr ± 2.11 | 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 2.11 years of 79.5, 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