ZIP code
93721
in Fresno, CaliforniaPopulation 7,225
25.26/ 100
Ranked #31,442 of 32,066 US ZIPs (bottom 2.0%)
Ranked #1,711 of 1,719 California ZIPs (bottom 0.5%)
Ranked #63 of 65 Fresno, CA ZIPs (bottom 3.1%)
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.
Vision disability
12.9%
in the top 1.4% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Fair or poor health
40.7%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Colon-cancer screening
47.6%
in the bottom 1.3% nationally
Higher is healthier
ST6thUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Uninsured (under 65)
25%
in the top 2.3% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Cognitive disability
25.7%
in the top 0.8% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Fine-particle (PM2.5) exceedance
8.3%
in the top 0.3% nationally
Lower is healthier
ST96thUS99thDefinition & 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 ›Self-care disability
8.5%
in the top 2.0% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Independent-living disability
15.7%
in the top 1.9% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Tooth loss
32%
in the top 2.2% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Outer-floodplain exposure
61.3%
in the top 0.8% 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 ›The read
Overall, ZIP 93721, one of several in Fresno, California places in the bottom 2.0% nationally (31,442nd) and the bottom 0.5% of California (1,711th).
The data opens on real and measurable burdens: modeled vision disability registers in the top 1.4% nationally, and fair or poor health settles in the top 0.5% nationally. Modeled colon screening sits in the bottom 1.3% nationally, and uninsured lies in the top 2.3% nationally. Modeled cognitive disability rests in the top 0.8% nationally, fine-particle resides in the top 0.3% nationally, and self-care disability is in the top 2.0% nationally. Modeled independent living disability lands in the top 1.9% nationally, modeled tooth loss stands in the top 2.2% nationally, and outer-floodplain exposure registers in the top 0.8% nationally.
Beside the areas that surround it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". Among nearby ZIPs, the nearest healthier one overall is ZIP 93701, 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
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 45%
21%
Holding it back
Social Need / SDOH
healthier than 5%
16%
Environmental Hazard
in the bottom 1.0%
14%
Preventive Care
in the bottom 0.04%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 10%
8%
Disability
healthier than 2%
7%
Climate / Disaster Risk
healthier than 17%
5%
Lifting this score
Healthcare Access
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
healthier than 6%
14%
Preventive Care
in the bottom 0.4%
13%
Risk Behavior
in the bottom 0.3%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 1%
7%
Climate / Disaster Risk
healthier than 14%
5%
Lifting this score
Healthcare Access
in the top 0.00%
5%
About typical
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 34%
16%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 3%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 11%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
93701
Californiashares a border
Score 25.77
Closest healthier
93702
Californiashares a border
Score 27.71
Similar health profile
93666
California99% similar profile
Score 28.32
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 | 21.3% | 19.0–23.8 |
| High blood pressure among adults | 35.3% | 31.8–38.9 |
| Cancer (non-skin) or melanoma among adults | 4.3% | 3.9–4.8 |
| Current asthma among adults | 10.6% | 9.4–12.0 |
| Coronary heart disease among adults | 7.7% | 7.0–8.5 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 8.1–10.1 |
| Depression among adults | 23.0% | 19.9–26.4 |
| Diagnosed diabetes among adults | 15.3% | 13.5–17.2 |
| High cholesterol among adults who have ever been screened | 31.5% | 28.3–35.1 |
| Obesity among adults | 45.7% | 39.9–51.9 |
| Stroke among adults | 4.5% | 4.1–4.9 |
| All teeth lost among adults aged >=65 years | 32.0% | 27.9–36.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 25.0% | 21.0–29.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 65.4% | 62.4–68.4 |
| Visits to doctor for routine checkup within the past year among adults | 65.7% | 61.6–69.9 |
| Cholesterol screening among adults | 72.3% | 69.3–75.6 |
| Colorectal cancer screening among adults aged 45–75 years | 47.6% | 42.8–52.3 |
| Visited dentist or dental clinic in the past year among adults | 35.7% | 32.7–39.0 |
| Mammography use among women aged 50-74 years | 63.8% | 56.0–71.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.3% | 12.8–18.3 |
| Current cigarette smoking among adults | 22.1% | 19.1–25.3 |
| No leisure-time physical activity among adults | 41.0% | 36.0–46.1 |
| Short sleep duration among adults | 41.2% | 36.1–46.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 40.7% | 36.7–44.8 |
| Frequent mental distress among adults | 23.0% | 20.5–25.7 |
| Frequent physical distress among adults | 19.6% | 17.4–22.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 25.7% | 22.9–28.6 |
| Any disability among adults | 47.6% | 42.8–52.4 |
| Hearing disability among adults | 8.1% | 7.2–9.1 |
| Independent living disability among adults | 15.7% | 14.0–17.4 |
| Mobility disability among adults | 22.0% | 19.7–24.5 |
| Self-care disability among adults | 8.5% | 7.7–9.3 |
| Vision disability among adults | 12.9% | 11.7–14.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 33.7% | 29.7–38.0 |
| Food insecurity in the past 12 months among adults | 44.1% | 39.5–49.0 |
| Received food stamps in the past 12 months among adults | 45.8% | 41.4–50.4 |
| Housing insecurity in the past 12 months among adults | 32.4% | 28.9–36.4 |
| Lack of reliable transportation in the past 12 months among adults | 22.5% | 20.0–25.3 |
| Loneliness among adults | 40.6% | 36.0–45.5 |
| Utility services shut-off threat in the past 12 months among adults | 20.3% | 17.9–22.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 28.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 19.3% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 31.9% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 13.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 17.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 43.4% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 76.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 51.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 7.6% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 8.9% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 15.6% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 30.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 16.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 38.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $40,033 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $243,800 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $959 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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