ZIP code
93726
in Fresno, CaliforniaPopulation 44,527
37.68/ 100
Ranked #28,197 of 32,066 US ZIPs (bottom 12.1%)
Ranked #1,563 of 1,719 California ZIPs (bottom 9.1%)
Ranked #43 of 65 Fresno, CA 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.
Transportation noise
75.2%
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Loud transportation noise
13.8%
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Fine-particle (PM2.5) exceedance
6.8%
in the top 0.5% nationally
Lower is healthier
ST93rdUS99thDefinition & 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 ›Outer-floodplain exposure
73.2%
in the top 0.6% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›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 ›Dry extreme heat
110.5 days/year
in the top 1.1% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Colon-cancer screening
53.9%
in the bottom 4.0% nationally
Higher is healthier
ST18thUS4thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Crowded housing
12.5%
in the top 3.1% nationally
Lower is healthier
ST84thUS97thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
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 ›Homeownership rate
37.4%
in the bottom 4.7% nationally
Higher is healthier
ST14thUS5thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
ZIP 93726, one of several in Fresno, California, on the composite measure, lands in the bottom 12.1% nationally (28,197th) and the bottom 9.1% of California (1,563rd).
The main burdens in the data show plainly and lead the picture: modeled transportation noise is in the top 0.2% nationally, loud transportation noise rests in the top 0.2% nationally, and fine-particle sits in the top 0.5% nationally. Outer-floodplain exposure registers in the top 0.6% nationally, modeled air-toxics cancer risk lands in the top 0.9% nationally, and modeled extreme heat resides in the top 1.1% nationally. Modeled colon screening lies in the bottom 4.0% nationally, and crowded housing settles in the top 3.1% nationally. Homeownership stands in the bottom 4.7% nationally. More positively, lead in tap water is at the national minimum.
Set against the neighboring ZIPs, transportation noise runs far higher than the surrounding ZIPs on this measure. In everyday language, 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. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. A healthier neighbor overall sits at ZIP 93612, 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 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 72%
21%
Healthcare Access
healthier than 92%
5%
Holding it back
Social Need / SDOH
healthier than 4%
16%
Environmental Hazard
in the bottom 0.4%
14%
Preventive Care
healthier than 4%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 22%
8%
Disability
healthier than 16%
7%
Climate / Disaster Risk
healthier than 16%
5%
Lifting this score
Healthcare Access
healthier than 85%
5%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Social Need / SDOH
healthier than 6%
16%
Environmental Hazard
healthier than 2%
14%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 16%
7%
Climate / Disaster Risk
healthier than 14%
5%
Lifting this score
Chronic Disease Burden
healthier than 69%
21%
Healthcare Access
healthier than 88%
5%
About typical
Preventive Care
healthier than 42%
13%
Climate / Disaster Risk
healthier than 41%
5%
Holding it back
Social Need / SDOH
healthier than 22%
16%
Environmental Hazard
healthier than 2%
14%
Risk Behavior
healthier than 39%
11%
Mental Health
healthier than 28%
8%
Disability
healthier than 39%
7%
“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
4 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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 76.6 ± 1.1 years. A median household income of $55,771 predicts 77.8 years — 1.1 years below.
Ranked #1,512 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 76.6 ± 1.1 years. The 47 nearest ZIP codes with estimates average 78.9 years — 2.2 years below them.
Ranked #1,727 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 0.4 (bottom 1%); chronic-disease standing 72.4 — 72 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,570 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 76.6 ± 1.1 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
93704
Californiashares a border
Score 47.63
Similar health profile
93257
California98% similar profile
Score 37.88
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 | 21.4% | 19.3–24.0 |
| High blood pressure among adults | 31.8% | 28.7–35.3 |
| Cancer (non-skin) or melanoma among adults | 5.1% | 4.7–5.7 |
| Current asthma among adults | 10.5% | 9.4–11.8 |
| Coronary heart disease among adults | 6.3% | 5.8–7.0 |
| Chronic obstructive pulmonary disease among adults | 6.9% | 6.2–7.6 |
| Depression among adults | 22.8% | 19.9–26.2 |
| Diagnosed diabetes among adults | 13.1% | 11.7–14.9 |
| High cholesterol among adults who have ever been screened | 31.5% | 28.4–35.1 |
| Obesity among adults | 39.4% | 34.1–45.5 |
| Stroke among adults | 3.7% | 3.4–4.0 |
| All teeth lost among adults aged >=65 years | 19.1% | 16.0–22.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 16.1% | 14.1–18.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.7% | 66.9–72.6 |
| Visits to doctor for routine checkup within the past year among adults | 69.8% | 66.1–73.7 |
| Cholesterol screening among adults | 79.1% | 77.0–81.4 |
| Colorectal cancer screening among adults aged 45–75 years | 53.9% | 49.2–58.5 |
| Visited dentist or dental clinic in the past year among adults | 51.2% | 47.8–54.6 |
| Mammography use among women aged 50-74 years | 70.0% | 62.8–76.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.1% | 11.8–16.8 |
| Current cigarette smoking among adults | 15.2% | 13.4–17.3 |
| No leisure-time physical activity among adults | 34.0% | 30.1–38.3 |
| Short sleep duration among adults | 37.2% | 32.4–42.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.8% | 28.1–34.0 |
| Frequent mental distress among adults | 20.6% | 18.6–22.9 |
| Frequent physical distress among adults | 16.2% | 14.6–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.1% | 18.2–22.2 |
| Any disability among adults | 39.6% | 35.9–43.7 |
| Hearing disability among adults | 6.7% | 6.0–7.4 |
| Independent living disability among adults | 11.9% | 10.8–13.2 |
| Mobility disability among adults | 18.0% | 16.3–20.1 |
| Self-care disability among adults | 5.8% | 5.4–6.3 |
| Vision disability among adults | 9.0% | 8.3–9.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.1% | 26.6–33.9 |
| Food insecurity in the past 12 months among adults | 31.1% | 28.0–34.5 |
| Received food stamps in the past 12 months among adults | 29.9% | 27.2–32.9 |
| Housing insecurity in the past 12 months among adults | 23.2% | 20.7–25.9 |
| Lack of reliable transportation in the past 12 months among adults | 15.5% | 14.0–17.3 |
| Loneliness among adults | 39.2% | 34.8–43.8 |
| Utility services shut-off threat in the past 12 months among adults | 13.3% | 11.8–15.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 25.1% | 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+) | 22.9% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 16.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 11.5% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 8.2% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 87.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 45.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 37.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 12.5% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 16.8% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 34.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 10.7% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 31.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $55,771 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $294,800 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,366 | $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 | 76.6 yr ± 0.55 | 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 0.55 years of 76.6, 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