ZIP code
93611
in Clovis, CaliforniaPopulation 46,624
57.97/ 100
Ranked #6,427 of 32,066 US ZIPs (top 20%)
Ranked #617 of 1,719 California ZIPs (top 36%)
Ranked #4 of 65 Fresno, CA ZIPs (top 6.2%)
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 ›Fine-particle (PM2.5) exceedance
5.4%
in the top 1.0% nationally
Lower is healthier
ST89thUS99thDefinition & 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 ›Dry extreme heat
107.4 days/year
in the top 1.2% nationally
Lower is healthier
ST93rdUS99thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Outer-floodplain exposure
10.6%
in the top 3.7% nationally
Lower is healthier
ST90thUS96thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
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 ›Walkability
120 intersections/sq mi
in the top 7.7% nationally
Higher is healthier
ST79thUS92ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›PFOA in drinking water
92.4%
in the top 7.7% nationally
Lower is healthier
ST92ndUS92ndDefinition & source ›
The share of residents served by public water systems where PFOA, one of the man-made “forever chemicals,” was detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›PFOS in drinking water
92.4%
in the top 7.9% nationally
Lower is healthier
ST88thUS92ndDefinition & source ›
The share of residents served by public water systems where PFOS, one of the most common “forever chemicals,” was detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Industrial-pollution burden
in the top 17% nationally
Lower is healthier
ST91stUS83rdDefinition & 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 ›The read
By the composite health measure, ZIP 93611, one of several in Clovis, California ranks in the top 20% healthiest ZIPs nationally (6,427th) and the top 36% of California (617th).
The picture here is genuinely mixed, with readings on both sides: lead in tap water lies at the national minimum, and walkability lands in the top 7.7% nationally. Fatal road crashes sits in the bottom 10.6% nationally. On the other side, modeled air-toxics cancer risk is in the top 0.9% nationally, fine-particle settles in the top 1.0% nationally, and extreme heat resides in the top 1.2% nationally. Outer-floodplain exposure registers in the top 3.7% nationally, modeled tree cover rests at the national minimum, and PFOA in drinking water stands in the top 7.7% nationally. PFOS in drinking water lies in the top 7.9% nationally.
Read against the ZIPs closest to it, outer-floodplain exposure runs far lower than the surrounding ZIPs on this measure. To spell things out, 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. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Close by, ZIP 93619, just across the boundary, ranks healthier 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. Compare it against the US, this state and the Fresno, 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 87%
21%
Social Need / SDOH
healthier than 74%
16%
Risk Behavior
healthier than 89%
11%
Mental Health
healthier than 67%
8%
Disability
healthier than 81%
7%
Healthcare Access
healthier than 89%
5%
About typical
Preventive Care
healthier than 47%
13%
Holding it back
Environmental Hazard
healthier than 3%
14%
Climate / Disaster Risk
healthier than 19%
5%
Lifting this score
Chronic Disease Burden
healthier than 62%
21%
Social Need / SDOH
healthier than 68%
16%
Preventive Care
healthier than 67%
13%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 62%
8%
Disability
healthier than 76%
7%
Healthcare Access
healthier than 78%
5%
Holding it back
Environmental Hazard
healthier than 16%
14%
Climate / Disaster Risk
healthier than 17%
5%
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Social Need / SDOH
healthier than 92%
16%
Preventive Care
healthier than 73%
13%
Risk Behavior
healthier than 89%
11%
Mental Health
healthier than 88%
8%
Disability
healthier than 95%
7%
Healthcare Access
healthier than 83%
5%
About typical
Climate / Disaster Risk
healthier than 53%
5%
Holding it back
Environmental Hazard
healthier than 36%
14%
“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 ›
Findings that name this ZIP
2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 3.4 (bottom 10%); chronic-disease standing 87.0 — 84 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,457 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 50.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 80.6 ± 1.2 years.
Ranked #122 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
93612
Californiashares a border
Score 44.74
Closest healthier
93619
Californiashares a border
Score 60.18
Similar health profile
95677
California98% similar profile
Score 56.68
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 | 23.1% | 20.7–25.8 |
| High blood pressure among adults | 30.1% | 27.0–33.5 |
| Cancer (non-skin) or melanoma among adults | 7.9% | 7.3–8.8 |
| Current asthma among adults | 9.8% | 8.7–11.1 |
| Coronary heart disease among adults | 5.4% | 4.9–6.0 |
| Chronic obstructive pulmonary disease among adults | 4.9% | 4.3–5.4 |
| Depression among adults | 21.5% | 18.8–24.8 |
| Diagnosed diabetes among adults | 9.7% | 8.5–11.1 |
| High cholesterol among adults who have ever been screened | 33.4% | 30.0–37.3 |
| Obesity among adults | 31.8% | 27.0–37.4 |
| Stroke among adults | 2.9% | 2.6–3.1 |
| All teeth lost among adults aged >=65 years | 8.9% | 7.2–10.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.7% | 5.8–7.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.7% | 70.7–76.9 |
| Visits to doctor for routine checkup within the past year among adults | 73.9% | 70.6–77.4 |
| Cholesterol screening among adults | 87.4% | 85.9–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 65.7% | 61.3–69.7 |
| Visited dentist or dental clinic in the past year among adults | 67.9% | 64.9–70.9 |
| Mammography use among women aged 50-74 years | 75.9% | 69.5–81.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 13.0–18.4 |
| Current cigarette smoking among adults | 9.5% | 8.2–10.9 |
| No leisure-time physical activity among adults | 21.0% | 18.1–24.2 |
| Short sleep duration among adults | 31.9% | 27.4–36.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.9% | 16.0–20.0 |
| Frequent mental distress among adults | 16.0% | 14.3–17.9 |
| Frequent physical distress among adults | 11.9% | 10.6–13.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.6% | 11.4–14.1 |
| Any disability among adults | 28.6% | 25.5–32.0 |
| Hearing disability among adults | 5.8% | 5.2–6.5 |
| Independent living disability among adults | 6.9% | 6.2–7.6 |
| Mobility disability among adults | 12.3% | 10.9–13.9 |
| Self-care disability among adults | 3.1% | 2.8–3.3 |
| Vision disability among adults | 4.2% | 3.8–4.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.5% | 21.4–27.8 |
| Food insecurity in the past 12 months among adults | 11.7% | 10.1–13.4 |
| Received food stamps in the past 12 months among adults | 9.7% | 8.4–11.0 |
| Housing insecurity in the past 12 months among adults | 10.3% | 8.9–11.7 |
| Lack of reliable transportation in the past 12 months among adults | 6.6% | 5.9–7.5 |
| Loneliness among adults | 34.1% | 29.9–38.5 |
| Utility services shut-off threat in the past 12 months among adults | 5.4% | 4.7–6.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 4.9% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 6.8% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 39.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.4% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 32.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 72.7% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.6% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 11.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 51.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 17.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 40.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $110,982 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $485,900 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,183 | $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 | 80.6 yr ± 0.62 | 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 0.62 years of 80.6, 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