Skip to main content
ZipVitals

ZIP code

93239

in Kettleman City, CaliforniaPopulation 1,461

34.22/ 100

Ranked #29,651 of 32,066 US ZIPs (bottom 7.6%)

Ranked #1,623 of 1,719 California ZIPs (bottom 5.6%)

Too few scored ZIPs in the Hanford-Corcoran, CA metro area to rank within it.

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Uninsured (under 65)

31.5%

in the top 0.9% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults aged 18–64 with no current health-insurance coverage.

Full methodology ›

Colon-cancer screening

43.2%

in the bottom 0.5% nationally

Higher is healthier

ST2nd
US1st
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Vision disability

13.2%

in the top 1.2% nationally

Lower is healthier

ST98th
US99th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Fair or poor health

39.7%

in the top 0.8% nationally

Lower is healthier

ST98th
US99th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Cognitive disability

24.5%

in the top 1.3% nationally

Lower is healthier

ST98th
US99th
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

Housing insecurity

34.1%

in the top 0.5% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Dry extreme heat

113 days/year

in the top 1.0% nationally

Lower is healthier

ST96th
US99th
Definition & source ›

The average number of days per year with a modeled daily high of at least 95 °F.

Full methodology ›

Food insecurity

44.5%

in the top 1.0% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Self-care disability

7.7%

in the top 3.6% nationally

Lower is healthier

ST97th
US96th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Homeownership rate

13.3%

in the bottom 1.6% nationally

Higher is healthier

ST3rd
US2nd
Definition & source ›

The share of occupied homes that are owned, rather than rented, by the people living in them.

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 its overall health score, Kettleman City, California (ZIP 93239) lands in the bottom 7.6% nationally (29,651st) and the bottom 5.6% of California (1,623rd).

continue reading

The measures that define the ground here come first: modeled uninsured settles in the top 0.9% nationally, and colon screening lies in the bottom 0.5% nationally. Modeled vision disability resides in the top 1.2% nationally, and fair or poor health lands in the top 0.8% nationally. Modeled cognitive disability registers in the top 1.3% nationally, housing insecurity sits in the top 0.5% nationally, and extreme heat rests in the top 1.0% nationally. Modeled food insecurity is in the top 1.0% nationally, modeled self-care disability stands in the top 3.6% nationally, and homeownership settles in the bottom 1.6% nationally.

To translate a couple of terms, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Overall, the nearest healthier neighbor is ZIP 93210, about 1.7 miles away. On a broader view, the area 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 Hanford-Corcoran, CA metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 76%

21%

Holding it back

Social Need / SDOH

healthier than 2%

16%

Environmental Hazard

healthier than 26%

14%

Preventive Care

in the bottom 0.6%

13%

Risk Behavior

healthier than 12%

11%

Mental Health

healthier than 30%

8%

Disability

healthier than 4%

7%

Climate / Disaster Risk

healthier than 10%

5%

Healthcare Access

healthier than 30%

5%

Nothing measured is lifting this score.

About typical

Chronic Disease Burden

healthier than 41%

21%

Environmental Hazard

healthier than 58%

14%

Holding it back

Social Need / SDOH

healthier than 2%

16%

Preventive Care

healthier than 3%

13%

Risk Behavior

healthier than 5%

11%

Mental Health

healthier than 20%

8%

Disability

healthier than 3%

7%

Climate / Disaster Risk

healthier than 9%

5%

Healthcare Access

healthier than 19%

5%

Lifting this score

Environmental Hazard

healthier than 83%

14%

Climate / Disaster Risk

healthier than 83%

5%

About typical

Risk Behavior

healthier than 50%

11%

Holding it back

Chronic Disease Burden

healthier than 33%

21%

Social Need / SDOH

healthier than 33%

16%

Preventive Care

healthier than 33%

13%

Mental Health

healthier than 33%

8%

Disability

healthier than 17%

7%

Healthcare Access

in the bottom 0.00%

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 ›

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

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
MeasureCrude prevalence95% CI
Arthritis among adults18.7%16.3–21.5
High blood pressure among adults31.1%27.2–35.1
Cancer (non-skin) or melanoma among adults3.6%3.2–4.0
Current asthma among adults9.8%8.5–11.0
Coronary heart disease among adults6.6%5.8–7.4
Chronic obstructive pulmonary disease among adults6.2%5.3–7.2
Depression among adults20.7%17.4–24.1
Diagnosed diabetes among adults15.9%13.8–18.2
High cholesterol among adults who have ever been screened32.9%28.8–37.0
Obesity among adults39.2%31.3–47.4
Stroke among adults3.7%3.3–4.2
All teeth lost among adults aged >=65 years18.2%14.9–21.9
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years31.5%25.7–37.4
Taking medicine to control high blood pressure among adults with high blood pressure65.4%61.8–68.7
Visits to doctor for routine checkup within the past year among adults65.4%60.4–70.2
Cholesterol screening among adults75.5%71.7–78.9
Colorectal cancer screening among adults aged 45–75 years43.2%37.7–48.8
Visited dentist or dental clinic in the past year among adults45.1%41.3–48.9
Mammography use among women aged 50-74 years73.3%65.0–80.6
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults15.5%12.5–18.8
Current cigarette smoking among adults17.0%14.3–20.0
No leisure-time physical activity among adults41.9%36.0–48.4
Short sleep duration among adults36.2%29.6–43.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults39.7%34.6–44.8
Frequent mental distress among adults20.9%18.5–23.5
Frequent physical distress among adults19.9%17.5–22.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults24.5%21.3–27.8
Any disability among adults44.3%38.8–49.7
Hearing disability among adults7.2%6.4–8.2
Independent living disability among adults13.7%11.8–15.7
Mobility disability among adults21.2%18.4–24.2
Self-care disability among adults7.7%6.7–8.8
Vision disability among adults13.2%11.5–14.9
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults33.7%29.0–38.3
Food insecurity in the past 12 months among adults44.5%38.3–50.5
Received food stamps in the past 12 months among adults40.3%34.5–45.6
Housing insecurity in the past 12 months among adults34.1%29.4–38.7
Lack of reliable transportation in the past 12 months among adults21.2%18.0–24.4
Loneliness among adults42.2%36.2–47.8
Utility services shut-off threat in the past 12 months among adults17.5%14.9–19.8
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate23.8%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–647.2%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)60.1%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)0.0%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)8.6%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle0.0%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription70.2%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)18.7%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate13.3%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)3.6%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population50.2%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households39.5%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+13.1%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age44.4 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$48,231$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$138,300$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$1,082$1,021 ($677–$1,912) n=25,670$1,912 ($1,113–$2,923) n=1,461
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)CA median (p10–p90)
Life expectancy at birth76.2 yr ± 1.8678.9 yr (74.7–82.8) n=31,30880.5 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 1.86 years of 76.2, and it’s very unlikely to be off by more than twice that.

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