ZIP code
95939
in Elk Creek, CaliforniaPopulation 325
49.62/ 100
Ranked #16,756 of 32,066 US ZIPs (bottom 48%)
Ranked #1,090 of 1,719 California ZIPs (bottom 37%)
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
46.4 per million
in the top 1.4% nationally
Lower is healthier
ST90thUS99thDefinition & 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 ›Fine-particle (PM2.5) exceedance
4.1%
in the top 1.4% 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 ›Slow internet speeds
8.9%
in the top 1.5% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Park land
42.8%
in the top 3.1% nationally
Higher is healthier
ST91stUS97thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Transportation noise
0.00%
in the bottom 4.9% nationally
Lower is healthier
ST3rdUS5thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Natural-disaster risk
in the top 6.3% nationally
Lower is healthier
ST73rdUS94thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Dry extreme heat
66 days/year
in the top 6.4% nationally
Lower is healthier
ST79thUS94thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Walkability
1.8 intersections/sq mi
in the bottom 6.5% nationally
Higher is healthier
ST7thUS6thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Distance to a nursing home
13.3 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 ›Households without a vehicle
13.2%
in the top 9.2% nationally
Lower is healthier
ST92ndUS91stDefinition & source ›
The share of households with no vehicle available.
Full methodology ›The read
Elk Creek, California (ZIP 95939), on the composite measure, lands in the bottom 48% nationally (16,756th) and the bottom 37% of California (1,090th).
The main burdens in the data show plainly and lead the picture: modeled air-toxics cancer risk resides in the top 1.4% nationally, modeled fine-particle lies in the top 1.4% nationally, and slow internet speeds settles in the top 1.5% nationally. Modeled disaster risk stands in the top 6.3% nationally, modeled extreme heat is in the top 6.4% nationally, and walkability rests in the bottom 6.5% nationally. Distance to a nursing home sits in the top 6.6% nationally, and households without a vehicle registers in the top 9.2% nationally. More positively, park land lands in the top 3.1% nationally, and modeled transportation noise resides in the bottom 4.9% nationally.
Set against the neighboring ZIPs, slow internet speeds runs far higher than the surrounding ZIPs on this measure. In everyday language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. A healthier neighbor overall sits at ZIP 95469, about 8.2 miles away.
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 72%
21%
About typical
Risk Behavior
healthier than 57%
11%
Mental Health
healthier than 46%
8%
Disability
healthier than 51%
7%
Holding it back
Social Need / SDOH
healthier than 34%
16%
Environmental Hazard
healthier than 10%
14%
Preventive Care
healthier than 28%
13%
Climate / Disaster Risk
healthier than 30%
5%
Healthcare Access
healthier than 10%
5%
Nothing measured is lifting this score.
About typical
Preventive Care
healthier than 50%
13%
Disability
healthier than 49%
7%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Social Need / SDOH
healthier than 38%
16%
Environmental Hazard
healthier than 35%
14%
Risk Behavior
healthier than 32%
11%
Mental Health
healthier than 38%
8%
Climate / Disaster Risk
healthier than 27%
5%
Healthcare Access
healthier than 6%
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
95963
Californiashares a border
Score 43.52
Closest healthier
95469
Californiaabout 8.2 mi away
Score 52.18
Similar health profile
68421
Nebraska84% similar profile
Score 56.30
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 | 24.8% | 21.8–28.1 |
| High blood pressure among adults | 32.7% | 28.7–36.9 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.1–9.9 |
| Current asthma among adults | 10.7% | 9.4–12.1 |
| Coronary heart disease among adults | 7.0% | 6.2–8.0 |
| Chronic obstructive pulmonary disease among adults | 6.6% | 5.6–7.7 |
| Depression among adults | 22.1% | 18.7–25.9 |
| Diagnosed diabetes among adults | 10.7% | 9.2–12.5 |
| High cholesterol among adults who have ever been screened | 34.8% | 30.6–39.2 |
| Obesity among adults | 29.5% | 22.3–37.6 |
| Stroke among adults | 3.7% | 3.3–4.1 |
| All teeth lost among adults aged >=65 years | 12.3% | 9.9–15.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 6.4–10.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.9% | 68.6–75.0 |
| Visits to doctor for routine checkup within the past year among adults | 72.1% | 67.9–76.0 |
| Cholesterol screening among adults | 85.3% | 83.1–87.5 |
| Colorectal cancer screening among adults aged 45–75 years | 65.8% | 60.3–70.8 |
| Visited dentist or dental clinic in the past year among adults | 64.0% | 60.4–67.4 |
| Mammography use among women aged 50-74 years | 74.8% | 66.5–81.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.1% | 15.0–21.6 |
| Current cigarette smoking among adults | 13.7% | 11.2–16.3 |
| No leisure-time physical activity among adults | 21.8% | 17.7–26.4 |
| Short sleep duration among adults | 35.2% | 28.6–42.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.2% | 18.0–24.6 |
| Frequent mental distress among adults | 17.9% | 15.7–20.2 |
| Frequent physical distress among adults | 14.4% | 12.5–16.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 13.4–17.7 |
| Any disability among adults | 33.4% | 28.6–38.3 |
| Hearing disability among adults | 7.9% | 7.0–9.0 |
| Independent living disability among adults | 8.6% | 7.4–9.9 |
| Mobility disability among adults | 14.8% | 12.6–17.2 |
| Self-care disability among adults | 3.7% | 3.2–4.2 |
| Vision disability among adults | 5.1% | 4.5–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.6% | 23.4–31.9 |
| Food insecurity in the past 12 months among adults | 15.1% | 12.2–18.1 |
| Received food stamps in the past 12 months among adults | 12.9% | 10.4–15.7 |
| Housing insecurity in the past 12 months among adults | 13.1% | 10.9–15.4 |
| Lack of reliable transportation in the past 12 months among adults | 9.1% | 7.7–10.5 |
| Loneliness among adults | 35.8% | 30.1–41.3 |
| Utility services shut-off threat in the past 12 months among adults | 6.9% | 5.9–8.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 28.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 16.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 26.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 0.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 13.2% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 79.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 17.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 50.3% | 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 | 9.5% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 71.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 39.4% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 56.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $40,568 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $423,500 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,125 | $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 | 82.8 yr ± 1.88 | 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 1.88 years of 82.8, 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