ZIP code
93270
in Terra Bella, CaliforniaPopulation 5,482
40.83/ 100
Ranked #26,165 of 32,066 US ZIPs (bottom 18%)
Ranked #1,480 of 1,719 California ZIPs (bottom 14.0%)
Ranked #12 of 31 Visalia, CA ZIPs (top 39%)
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
50%
in the bottom 2.0% nationally
Higher is healthier
ST9thUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Fine-particle (PM2.5) exceedance
7.1%
in the top 0.5% nationally
Lower is healthier
ST94thUS99thDefinition & 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
112 days/year
in the top 1.0% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Uninsured (under 65)
20.2%
in the top 4.4% nationally
Lower is healthier
ST92ndUS96thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Crowded housing
14.1%
in the top 2.4% nationally
Lower is healthier
ST87thUS98thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Nitrate in drinking water
12.2%
in the top 2.9% nationally
Lower is healthier
ST91stUS97thDefinition & 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 ›Air-toxics cancer risk
40 per million
in the top 4.5% nationally
Lower is healthier
ST73rdUS96thDefinition & 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 ›Unemployment rate
13.6%
in the top 4.8% nationally
Lower is healthier
ST92ndUS95thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Housing insecurity
22.4%
in the top 6.2% nationally
Lower is healthier
ST86thUS94thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Fair or poor health
30%
in the top 8.4% nationally
Lower is healthier
ST85thUS92ndDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
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
Terra Bella, California (ZIP 93270), in overall standing, comes out in the bottom 18% nationally (26,165th) and the bottom 14.0% of California (1,480th).
Here the data is straightforward about what defines the area: modeled colon screening lies in the bottom 2.0% nationally, fine-particle registers in the top 0.5% nationally, and extreme heat is in the top 1.0% nationally. Modeled uninsured lies in the top 4.4% nationally, crowded housing registers in the top 2.4% nationally, and modeled nitrate is in the top 2.9% nationally. Modeled air-toxics cancer risk lies in the top 4.5% nationally, and unemployment registers in the top 4.8% nationally. Modeled housing insecurity is in the top 6.2% nationally, and fair or poor health lies in the top 8.4% nationally.
Defined simply, for reference, 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. The closest healthier ZIP overall is ZIP 93218, just across the boundary. Beyond that, the 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 77%
21%
Healthcare Access
healthier than 62%
5%
About typical
Risk Behavior
healthier than 40%
11%
Mental Health
healthier than 46%
8%
Holding it back
Social Need / SDOH
healthier than 5%
16%
Environmental Hazard
healthier than 6%
14%
Preventive Care
healthier than 2%
13%
Disability
healthier than 24%
7%
Climate / Disaster Risk
healthier than 11%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 43%
21%
Holding it back
Social Need / SDOH
healthier than 9%
16%
Environmental Hazard
healthier than 26%
14%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 20%
11%
Mental Health
healthier than 37%
8%
Disability
healthier than 23%
7%
Climate / Disaster Risk
healthier than 10%
5%
Healthcare Access
healthier than 40%
5%
Lifting this score
Chronic Disease Burden
healthier than 73%
21%
Environmental Hazard
healthier than 73%
14%
Risk Behavior
healthier than 60%
11%
Mental Health
healthier than 73%
8%
Disability
healthier than 73%
7%
Healthcare Access
healthier than 63%
5%
About typical
Social Need / SDOH
healthier than 53%
16%
Preventive Care
healthier than 50%
13%
Holding it back
Climate / Disaster Risk
healthier than 33%
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 6.2 (bottom 10%); chronic-disease standing 76.7 — 71 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,430 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 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 78.6 ± 2.2 years.
Ranked #504 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
93218
Californiashares a border
Score 41.66
Closest healthier
93207
Californiaabout 7.4 mi away
Score 42.53
Similar health profile
95334
California99% similar profile
Score 39.99
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 | 20.3% | 17.7–23.0 |
| High blood pressure among adults | 31.3% | 27.6–35.2 |
| Cancer (non-skin) or melanoma among adults | 5.4% | 4.8–6.0 |
| Current asthma among adults | 9.8% | 8.6–11.1 |
| Coronary heart disease among adults | 6.3% | 5.6–7.0 |
| Chronic obstructive pulmonary disease among adults | 5.7% | 5.0–6.5 |
| Depression among adults | 21.3% | 18.1–24.8 |
| Diagnosed diabetes among adults | 13.5% | 11.7–15.3 |
| High cholesterol among adults who have ever been screened | 34.7% | 30.7–38.9 |
| Obesity among adults | 34.6% | 28.0–41.9 |
| Stroke among adults | 3.5% | 3.1–3.8 |
| All teeth lost among adults aged >=65 years | 19.9% | 16.4–23.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 20.2% | 16.6–24.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.3% | 65.8–72.7 |
| Visits to doctor for routine checkup within the past year among adults | 67.8% | 63.5–72.0 |
| Cholesterol screening among adults | 81.8% | 79.2–84.1 |
| Colorectal cancer screening among adults aged 45–75 years | 50.0% | 44.7–55.3 |
| Visited dentist or dental clinic in the past year among adults | 46.8% | 43.1–50.6 |
| Mammography use among women aged 50-74 years | 67.9% | 59.4–75.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.1–19.1 |
| Current cigarette smoking among adults | 13.2% | 11.2–15.4 |
| No leisure-time physical activity among adults | 33.6% | 28.5–38.8 |
| Short sleep duration among adults | 35.6% | 29.9–41.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.0% | 26.4–33.7 |
| Frequent mental distress among adults | 18.5% | 16.4–20.7 |
| Frequent physical distress among adults | 16.6% | 14.7–18.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.8% | 16.4–21.2 |
| Any disability among adults | 37.0% | 32.4–41.8 |
| Hearing disability among adults | 6.8% | 6.0–7.6 |
| Independent living disability among adults | 10.3% | 9.1–11.6 |
| Mobility disability among adults | 17.4% | 15.1–19.6 |
| Self-care disability among adults | 5.2% | 4.7–5.8 |
| Vision disability among adults | 8.3% | 7.4–9.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.2% | 26.4–34.3 |
| Food insecurity in the past 12 months among adults | 27.3% | 23.5–31.3 |
| Received food stamps in the past 12 months among adults | 23.4% | 20.1–26.9 |
| Housing insecurity in the past 12 months among adults | 22.4% | 19.5–25.4 |
| Lack of reliable transportation in the past 12 months among adults | 13.4% | 11.7–15.3 |
| Loneliness among adults | 37.6% | 32.7–42.7 |
| Utility services shut-off threat in the past 12 months among adults | 10.7% | 9.3–12.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 13.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 28.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 6.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 13.6% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 1.5% | 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) | 29.8% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 67.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 14.1% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 23.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 49.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 17.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 37.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $67,136 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $308,100 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,059 | $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 | 78.6 yr ± 1.10 | 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 1.10 years of 78.6, 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