ZIP code
95013
in Coyote, CaliforniaPopulation 57
45.75/ 100
Ranked #21,596 of 32,066 US ZIPs (bottom 33%)
Ranked #1,284 of 1,719 California ZIPs (bottom 25%)
Ranked #61 of 61 San Jose-Sunnyvale-Santa Clara, CA ZIPs (bottom 1.7%)
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.
Median household income
$173,646
in the top 2.1% nationally
Higher is healthier
ST92ndUS98thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Loud transportation noise
9.1%
in the top 0.4% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Colon-cancer screening
49.7%
in the bottom 1.9% nationally
Higher is healthier
ST9thUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Unemployment rate
35%
in the top 0.6% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Transportation noise
32.1%
in the top 1.1% nationally
Lower is healthier
ST97thUS99thDefinition & 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 ›Slow internet speeds
12.0%
in the top 1.3% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Loneliness
41.6%
in the top 2.2% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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
33.3%
in the top 4.2% nationally
Higher is healthier
ST87thUS96thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
Coyote, California (ZIP 95013), on the composite measure, lands in the bottom 33% nationally (21,596th) and the bottom 25% of California (1,284th).
The main burdens in the data show plainly and lead the picture: modeled loud transportation noise lies in the top 0.4% nationally, modeled colon screening settles in the bottom 1.9% nationally, and unemployment stands in the top 0.6% nationally. Modeled transportation noise is in the top 1.1% nationally, slow internet speeds rests in the top 1.3% nationally, and modeled loneliness sits in the top 2.2% nationally. Modeled tree cover registers at the national minimum. More positively, household income lands in the top 2.1% nationally, and poverty resides at the national minimum. Park land lies in the top 4.2% nationally.
Set against the neighboring ZIPs, loud transportation noise runs far higher than the surrounding ZIPs on this measure. In everyday language, loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. A healthier neighbor overall sits at ZIP 95037, 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 San Jose-Sunnyvale-Santa Clara, CA metro area.
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 81%
21%
About typical
Risk Behavior
healthier than 53%
11%
Healthcare Access
healthier than 50%
5%
Holding it back
Social Need / SDOH
healthier than 31%
16%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 5%
13%
Mental Health
healthier than 22%
8%
Disability
healthier than 35%
7%
Climate / Disaster Risk
healthier than 25%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 50%
21%
Holding it back
Social Need / SDOH
healthier than 35%
16%
Environmental Hazard
healthier than 32%
14%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 29%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 33%
7%
Climate / Disaster Risk
healthier than 24%
5%
Healthcare Access
healthier than 31%
5%
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 2%
21%
Social Need / SDOH
healthier than 3%
16%
Environmental Hazard
healthier than 37%
14%
Preventive Care
healthier than 3%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 3%
8%
Disability
in the bottom 0.00%
7%
Climate / Disaster Risk
healthier than 8%
5%
Healthcare Access
healthier than 3%
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
95037
Californiashares a border
Score 63.91
Closest healthier
95120
Californiashares a border
Score 72.74
Similar health profile
95820
California98% similar profile
Score 47.21
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 | 19.6% | 17.5–22.1 |
| High blood pressure among adults | 30.4% | 27.5–33.6 |
| Cancer (non-skin) or melanoma among adults | 5.9% | 5.3–6.5 |
| Current asthma among adults | 10.2% | 9.0–11.6 |
| Coronary heart disease among adults | 6.6% | 5.7–7.5 |
| Chronic obstructive pulmonary disease among adults | 6.3% | 5.1–7.6 |
| Depression among adults | 23.9% | 21.0–27.1 |
| Diagnosed diabetes among adults | 12.3% | 10.7–14.1 |
| High cholesterol among adults who have ever been screened | 33.5% | 30.3–36.9 |
| Obesity among adults | 31.4% | 26.9–36.2 |
| Stroke among adults | 3.5% | 3.0–4.0 |
| All teeth lost among adults aged >=65 years | 13.9% | 11.2–17.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.9% | 10.6–17.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 67.8% | 64.0–71.3 |
| Visits to doctor for routine checkup within the past year among adults | 67.5% | 63.8–71.3 |
| Cholesterol screening among adults | 82.1% | 79.0–84.9 |
| Colorectal cancer screening among adults aged 45–75 years | 49.7% | 45.0–54.5 |
| Visited dentist or dental clinic in the past year among adults | 57.1% | 53.9–60.1 |
| Mammography use among women aged 50-74 years | 74.6% | 67.8–80.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.6–17.5 |
| Current cigarette smoking among adults | 15.0% | 12.1–18.1 |
| No leisure-time physical activity among adults | 29.3% | 24.7–33.9 |
| Short sleep duration among adults | 35.0% | 31.1–39.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.0% | 21.9–30.2 |
| Frequent mental distress among adults | 19.7% | 17.3–22.2 |
| Frequent physical distress among adults | 15.3% | 13.2–17.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.2% | 15.3–21.2 |
| Any disability among adults | 35.0% | 30.4–39.5 |
| Hearing disability among adults | 7.0% | 6.1–8.0 |
| Independent living disability among adults | 9.6% | 8.0–11.3 |
| Mobility disability among adults | 15.0% | 12.6–17.5 |
| Self-care disability among adults | 4.7% | 4.0–5.6 |
| Vision disability among adults | 6.7% | 5.7–7.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.7% | 26.4–35.1 |
| Food insecurity in the past 12 months among adults | 21.8% | 17.2–26.7 |
| Received food stamps in the past 12 months among adults | 19.1% | 14.8–23.7 |
| Housing insecurity in the past 12 months among adults | 18.5% | 15.0–22.1 |
| Lack of reliable transportation in the past 12 months among adults | 11.7% | 9.6–13.9 |
| Loneliness among adults | 41.6% | 36.9–46.5 |
| Utility services shut-off threat in the past 12 months among adults | 9.1% | 7.5–10.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 21.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 35.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 76.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 42.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 81.0% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 25.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 29.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 58.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $173,646 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | — | $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 | 78.8 yr ± 1.99 | 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 1.99 years of 78.8, 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