ZIP code
93221
in Exeter, CaliforniaPopulation 14,538
45.50/ 100
Ranked #21,869 of 32,066 US ZIPs (bottom 32%)
Ranked #1,294 of 1,719 California ZIPs (bottom 25%)
Ranked #8 of 31 Visalia, CA ZIPs (top 26%)
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.
Fine-particle (PM2.5) exceedance
8.6%
in the top 0.2% nationally
Lower is healthier
ST97thUS99thDefinition & 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 ›Nitrate in drinking water
62.5%
in the top 0.6% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Dry extreme heat
102.1 days/year
in the top 1.4% nationally
Lower is healthier
ST92ndUS99thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Air-toxics cancer risk
44.8 per million
in the top 1.5% nationally
Lower is healthier
ST89thUS99thDefinition & 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 ›Outer-floodplain exposure
14.6%
in the top 2.7% nationally
Lower is healthier
ST92ndUS97thDefinition & 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 ›Loud transportation noise
2.1%
in the top 7.0% nationally
Lower is healthier
ST63rdUS93rdDefinition & 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 ›Crowded housing
6.4%
in the top 9.8% nationally
Lower is healthier
ST60thUS90thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Colon-cancer screening
58.1%
in the bottom 9.5% nationally
Higher is healthier
ST34thUS9thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Elder-services access
0.13 per 1,000 residents
in the top 11.5% nationally
Higher is healthier
ST92ndUS89thDefinition & source ›
The number of services for older adults and people with disabilities inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Humid extreme heat
108.7 days/year
in the top 18% nationally
Lower is healthier
ST95thUS82ndDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›The read
Exeter, California (ZIP 93221), by its composite score, sits in the bottom 32% nationally (21,869th) and the bottom 25% of California (1,294th).
The measures that matter most for this area lead the way: modeled fine-particle settles in the top 0.2% nationally, and nitrate sits in the top 0.6% nationally. Modeled extreme heat lies in the top 1.4% nationally, and air-toxics cancer risk rests in the top 1.5% nationally. Outer-floodplain exposure resides in the top 2.7% nationally, modeled loud transportation noise is in the top 7.0% nationally, and crowded housing lands in the top 9.8% nationally. Modeled colon screening stands in the bottom 9.5% nationally. On the better side, distance to a community health center registers at the national minimum, shared with about 23% of ZIPs. Elder services settles in the top 11.5% nationally.
Next to the surrounding area, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. For a healthier comparison close by, see ZIP 93244, 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 Visalia, 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 70%
21%
Risk Behavior
healthier than 60%
11%
Healthcare Access
healthier than 71%
5%
Holding it back
Social Need / SDOH
healthier than 30%
16%
Environmental Hazard
healthier than 3%
14%
Preventive Care
healthier than 10%
13%
Mental Health
healthier than 34%
8%
Disability
healthier than 33%
7%
Climate / Disaster Risk
healthier than 17%
5%
Nothing measured is lifting this score.
About typical
Healthcare Access
healthier than 48%
5%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Social Need / SDOH
healthier than 34%
16%
Environmental Hazard
healthier than 16%
14%
Preventive Care
healthier than 29%
13%
Risk Behavior
healthier than 36%
11%
Mental Health
healthier than 24%
8%
Disability
healthier than 32%
7%
Climate / Disaster Risk
healthier than 14%
5%
Lifting this score
Chronic Disease Burden
healthier than 60%
21%
Social Need / SDOH
healthier than 80%
16%
Preventive Care
healthier than 73%
13%
Risk Behavior
healthier than 70%
11%
Disability
healthier than 80%
7%
Climate / Disaster Risk
healthier than 63%
5%
Healthcare Access
healthier than 77%
5%
About typical
Environmental Hazard
healthier than 43%
14%
Mental Health
healthier than 53%
8%
Nothing measured is holding this score back.
“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 3.3 (bottom 10%); chronic-disease standing 69.7 — 66 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,063 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 44.8 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 78.9 ± 1.5 years.
Ranked #290 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
93223
Californiashares a border
Score 32.17
Closest healthier
93244
Californiashares a border
Score 49.48
Similar health profile
93710
California98% similar profile
Score 45.95
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 | 23.8% | 21.0–26.8 |
| High blood pressure among adults | 33.3% | 29.5–37.2 |
| Cancer (non-skin) or melanoma among adults | 7.5% | 6.8–8.3 |
| Current asthma among adults | 10.5% | 9.2–11.8 |
| Coronary heart disease among adults | 6.8% | 6.1–7.6 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 6.0–7.7 |
| Depression among adults | 23.4% | 20.1–27.1 |
| Diagnosed diabetes among adults | 12.4% | 10.8–14.2 |
| High cholesterol among adults who have ever been screened | 35.9% | 31.9–40.2 |
| Obesity among adults | 33.3% | 26.8–40.5 |
| Stroke among adults | 3.7% | 3.4–4.0 |
| All teeth lost among adults aged >=65 years | 13.3% | 10.9–16.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.7% | 10.7–14.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.0% | 68.6–75.2 |
| Visits to doctor for routine checkup within the past year among adults | 70.7% | 66.5–74.7 |
| Cholesterol screening among adults | 84.5% | 82.5–86.3 |
| Colorectal cancer screening among adults aged 45–75 years | 58.1% | 53.0–63.3 |
| Visited dentist or dental clinic in the past year among adults | 59.0% | 55.3–62.5 |
| Mammography use among women aged 50-74 years | 71.8% | 63.7–79.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.1% | 13.3–19.4 |
| Current cigarette smoking among adults | 13.5% | 11.6–15.6 |
| No leisure-time physical activity among adults | 28.3% | 24.1–32.9 |
| Short sleep duration among adults | 33.4% | 27.8–39.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.5% | 22.4–28.6 |
| Frequent mental distress among adults | 18.4% | 16.3–20.6 |
| Frequent physical distress among adults | 15.8% | 13.9–17.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.9% | 14.9–18.9 |
| Any disability among adults | 34.6% | 30.3–39.0 |
| Hearing disability among adults | 7.2% | 6.4–8.1 |
| Independent living disability among adults | 9.8% | 8.7–11.0 |
| Mobility disability among adults | 16.6% | 14.5–18.8 |
| Self-care disability among adults | 4.8% | 4.3–5.3 |
| Vision disability among adults | 6.7% | 6.1–7.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.4% | 23.0–30.0 |
| Food insecurity in the past 12 months among adults | 20.1% | 17.5–22.9 |
| Received food stamps in the past 12 months among adults | 19.4% | 17.0–21.9 |
| Housing insecurity in the past 12 months among adults | 16.7% | 14.6–19.0 |
| Lack of reliable transportation in the past 12 months among adults | 10.7% | 9.5–12.0 |
| Loneliness among adults | 34.9% | 30.3–39.8 |
| Utility services shut-off threat in the past 12 months among adults | 8.9% | 7.8–10.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.5% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.9% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 13.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 19.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 8.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 6.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 89.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 31.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 60.2% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 6.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 11.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 40.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 14.4% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 36.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $86,940 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $360,900 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,333 | $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 | 78.9 yr ± 0.76 | 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 0.76 years of 78.9, 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