ZIP code
93219
in Earlimart, CaliforniaPopulation 9,057
32.11/ 100
Ranked #30,288 of 32,066 US ZIPs (bottom 5.6%)
Ranked #1,659 of 1,719 California ZIPs (bottom 3.5%)
Ranked #23 of 31 Visalia, CA ZIPs (bottom 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.
Colon-cancer screening
43.1%
in the bottom 0.5% nationally
Higher is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Uninsured (under 65)
28.4%
in the top 1.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Vision disability
12.2%
in the top 2.0% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Fair or poor health
38.8%
in the top 1.0% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Fine-particle (PM2.5) exceedance
8.7%
in the top 0.2% nationally
Lower is healthier
ST98thUS99thDefinition & 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
119.1 days/year
in the top 0.8% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Housing insecurity
31.5%
in the top 1.2% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Cognitive disability
23%
in the top 2.4% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Food insecurity
41.6%
in the top 1.5% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Unemployment rate
22.7%
in the top 1.6% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Cross-source signals
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.
These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.
Health need documented here
- People without health insurance
- Food insecurity
- Housing insecurity
- Adults reporting fair or poor health
Barriers to reaching care
- Thin local supply of doctors
- Thin local supply of pharmacies
- Limited home internet for telehealth
A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.
See the full care-deserts analysis →The read
By the composite measure, Earlimart, California (ZIP 93219) sits in the bottom 5.6% nationally (30,288th) and the bottom 3.5% of California (1,659th).
The readings that carry the most weight locally lead the way: modeled colon screening registers in the bottom 0.5% nationally, uninsured lands in the top 1.5% nationally, and vision disability resides in the top 2.0% nationally. Modeled fair or poor health lies in the top 1.0% nationally, fine-particle settles in the top 0.2% nationally, and extreme heat stands in the top 0.8% nationally. Modeled housing insecurity is in the top 1.2% nationally, and cognitive disability rests in the top 2.4% nationally. Modeled food insecurity sits in the top 1.5% nationally, and unemployment registers in the top 1.6% nationally.
Compared with the ZIPs that surround it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. In plain language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. ZIP 93215, just across the boundary, ranks healthier overall. This ZIP also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.
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 75%
21%
About typical
Healthcare Access
healthier than 58%
5%
Holding it back
Social Need / SDOH
healthier than 1%
16%
Environmental Hazard
healthier than 1%
14%
Preventive Care
in the bottom 0.5%
13%
Risk Behavior
healthier than 15%
11%
Mental Health
healthier than 34%
8%
Disability
healthier than 5%
7%
Climate / Disaster Risk
healthier than 5%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 41%
21%
Holding it back
Social Need / SDOH
in the bottom 1.0%
16%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 24%
8%
Disability
healthier than 5%
7%
Climate / Disaster Risk
healthier than 5%
5%
Healthcare Access
healthier than 36%
5%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
About typical
Mental Health
healthier than 57%
8%
Healthcare Access
healthier than 57%
5%
Holding it back
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 13%
14%
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 27%
11%
Disability
healthier than 37%
7%
Climate / Disaster Risk
healthier than 10%
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 ›
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 1.6 (bottom 10%); chronic-disease standing 75.5 — 74 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,722 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 39.3 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 77.6 ± 1.4 years.
Ranked #1,574 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
93201
Californiashares a border
Score 29.10
Closest healthier
93215
Californiashares a border
Score 37.20
Similar health profile
93618
California99% similar profile
Score 36.72
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 | 18.6% | 16.2–21.1 |
| High blood pressure among adults | 31.8% | 28.2–35.6 |
| Cancer (non-skin) or melanoma among adults | 3.7% | 3.3–4.1 |
| Current asthma among adults | 9.8% | 8.6–11.1 |
| Coronary heart disease among adults | 6.5% | 5.8–7.2 |
| Chronic obstructive pulmonary disease among adults | 6.0% | 5.3–6.8 |
| Depression among adults | 21.0% | 17.8–24.5 |
| Diagnosed diabetes among adults | 16.3% | 14.4–18.4 |
| High cholesterol among adults who have ever been screened | 34.7% | 30.9–38.8 |
| Obesity among adults | 37.6% | 30.7–45.1 |
| Stroke among adults | 3.7% | 3.4–4.1 |
| All teeth lost among adults aged >=65 years | 17.0% | 13.9–20.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 28.4% | 24.2–32.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 67.0% | 63.4–70.2 |
| Visits to doctor for routine checkup within the past year among adults | 65.4% | 60.8–69.8 |
| Cholesterol screening among adults | 77.1% | 74.2–79.7 |
| Colorectal cancer screening among adults aged 45–75 years | 43.1% | 38.0–48.5 |
| Visited dentist or dental clinic in the past year among adults | 44.5% | 40.7–48.1 |
| Mammography use among women aged 50-74 years | 68.6% | 60.4–76.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 12.0–17.6 |
| Current cigarette smoking among adults | 16.0% | 13.7–18.4 |
| No leisure-time physical activity among adults | 42.1% | 36.7–47.7 |
| Short sleep duration among adults | 36.7% | 30.9–43.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 38.8% | 34.6–43.1 |
| Frequent mental distress among adults | 20.1% | 17.9–22.6 |
| Frequent physical distress among adults | 19.3% | 17.1–21.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 23.0% | 20.4–25.9 |
| Any disability among adults | 42.6% | 37.7–47.6 |
| Hearing disability among adults | 6.9% | 6.1–7.8 |
| Independent living disability among adults | 13.0% | 11.5–14.7 |
| Mobility disability among adults | 20.8% | 18.4–23.3 |
| Self-care disability among adults | 7.2% | 6.5–8.0 |
| Vision disability among adults | 12.2% | 11.0–13.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 33.7% | 29.4–38.1 |
| Food insecurity in the past 12 months among adults | 41.6% | 36.9–46.5 |
| Received food stamps in the past 12 months among adults | 37.9% | 33.4–42.5 |
| Housing insecurity in the past 12 months among adults | 31.5% | 27.8–35.3 |
| Lack of reliable transportation in the past 12 months among adults | 19.6% | 17.3–22.2 |
| Loneliness among adults | 40.2% | 35.0–45.4 |
| Utility services shut-off threat in the past 12 months among adults | 16.0% | 14.0–18.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 13.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 51.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 3.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 22.7% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.2% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 84.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 35.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 53.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 16.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 41.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 28.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 8.7% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 27.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $52,273 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $258,400 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $955 | $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 | 77.6 yr ± 0.69 | 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 0.69 years of 77.6, 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