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ZipVitals

ZIP code

93305

in Bakersfield, CaliforniaPopulation 37,714

26.09/ 100

Ranked #31,345 of 32,066 US ZIPs (bottom 2.3%)

Ranked #1,705 of 1,719 California ZIPs (bottom 0.9%)

Ranked #46 of 48 Bakersfield-Delano, CA ZIPs (bottom 4.2%)

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.

Vision disability

13.7%

in the top 0.9% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Colon-cancer screening

45.4%

in the bottom 0.8% nationally

Higher is healthier

ST3rd
US1st
Definition & source ›

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

Full methodology ›

Uninsured (under 65)

26.6%

in the top 1.8% nationally

Lower is healthier

ST98th
US98th
Definition & source ›

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

Full methodology ›

Fair or poor health

39.2%

in the top 0.9% 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

25.6%

in the top 0.8% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Self-care disability

8.6%

in the top 1.9% nationally

Lower is healthier

ST98th
US98th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Independent-living disability

15.5%

in the top 2.1% nationally

Lower is healthier

ST99th
US98th
Definition & 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 ›

Housing insecurity

33.8%

in the top 0.6% nationally

Lower is healthier

ST98th
US99th
Definition & source ›

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

Full methodology ›

Fine-particle (PM2.5) exceedance

5.5%

in the top 0.9% nationally

Lower is healthier

ST89th
US99th
Definition & 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

113.7 days/year

in the top 0.9% nationally

Lower is healthier

ST97th
US99th
Definition & source ›

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

Full methodology ›

The read

ZIP 93305, one of several in Bakersfield, California, in overall standing, comes out in the bottom 2.3% nationally (31,345th) and the bottom 0.9% of California (1,705th).

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A demanding profile, and several measures drive it: modeled vision disability resides in the top 0.9% nationally, colon screening sits in the bottom 0.8% nationally, and uninsured stands in the top 1.8% nationally. Modeled fair or poor health resides in the top 0.9% nationally, cognitive disability sits in the top 0.8% nationally, and self-care disability stands in the top 1.9% nationally. Modeled independent living disability resides in the top 2.1% nationally, and housing insecurity sits in the top 0.6% nationally. Modeled fine-particle stands in the top 0.9% nationally, and extreme heat resides in the top 0.9% nationally.

Set within its surrounding area, walkability runs far higher than the surrounding ZIPs on this measure. 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. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. The closest healthier ZIP overall is ZIP 93301, 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 Bakersfield-Delano, 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

Healthcare Access

in the top 0.00%

5%

About typical

Chronic Disease Burden

healthier than 53%

21%

Holding it back

Social Need / SDOH

in the bottom 0.7%

16%

Environmental Hazard

healthier than 6%

14%

Preventive Care

in the bottom 0.4%

13%

Risk Behavior

healthier than 3%

11%

Mental Health

healthier than 7%

8%

Disability

healthier than 2%

7%

Climate / Disaster Risk

healthier than 18%

5%

Lifting this score

Healthcare Access

in the top 0.00%

5%

Holding it back

Chronic Disease Burden

healthier than 22%

21%

Social Need / SDOH

in the bottom 0.5%

16%

Environmental Hazard

healthier than 26%

14%

Preventive Care

healthier than 2%

13%

Risk Behavior

in the bottom 0.4%

11%

Mental Health

healthier than 2%

8%

Disability

healthier than 2%

7%

Climate / Disaster Risk

healthier than 16%

5%

Lifting this score

Healthcare Access

in the top 0.00%

5%

About typical

Chronic Disease Burden

healthier than 48%

21%

Climate / Disaster Risk

healthier than 41%

5%

Holding it back

Social Need / SDOH

healthier than 2%

16%

Environmental Hazard

healthier than 13%

14%

Preventive Care

healthier than 11%

13%

Risk Behavior

healthier than 2%

11%

Mental Health

healthier than 9%

8%

Disability

healthier than 9%

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 ›

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.

  • Below what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 74.0 ± 1.1 years. A median household income of $43,244 predicts 76.8 years — 2.8 years below.

    Ranked #3,836 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Below its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 74.0 ± 1.1 years. The 47 nearest ZIP codes with estimates average 77.3 years — 3.3 years below them.

    Ranked #2,552 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.

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 adults21.2%18.9–23.7
High blood pressure among adults33.9%30.5–37.3
Cancer (non-skin) or melanoma among adults4.4%4.0–4.8
Current asthma among adults11.1%9.8–12.4
Coronary heart disease among adults7.1%6.4–7.8
Chronic obstructive pulmonary disease among adults8.1%7.3–8.9
Depression among adults24.3%21.1–27.7
Diagnosed diabetes among adults16.5%14.7–18.5
High cholesterol among adults who have ever been screened32.9%29.5–36.4
Obesity among adults41.9%36.2–47.8
Stroke among adults4.2%3.9–4.5
All teeth lost among adults aged >=65 years25.4%21.6–29.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years26.6%23.8–29.4
Taking medicine to control high blood pressure among adults with high blood pressure65.8%62.6–68.9
Visits to doctor for routine checkup within the past year among adults68.6%64.6–72.3
Cholesterol screening among adults76.0%73.6–78.2
Colorectal cancer screening among adults aged 45–75 years45.4%40.6–50.4
Visited dentist or dental clinic in the past year among adults40.3%37.1–43.7
Mammography use among women aged 50-74 years68.7%61.2–76.0
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults15.8%13.1–18.6
Current cigarette smoking among adults19.6%17.4–22.0
No leisure-time physical activity among adults41.9%37.6–46.3
Short sleep duration among adults42.2%37.0–47.6
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults39.2%35.9–42.5
Frequent mental distress among adults23.3%21.0–25.6
Frequent physical distress among adults20.4%18.3–22.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults25.6%23.2–28.0
Any disability among adults45.9%41.8–50.0
Hearing disability among adults7.4%6.6–8.2
Independent living disability among adults15.5%14.0–17.0
Mobility disability among adults22.9%20.7–25.2
Self-care disability among adults8.6%7.9–9.2
Vision disability among adults13.7%12.7–14.8
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults32.5%28.8–36.4
Food insecurity in the past 12 months among adults43.9%40.5–47.4
Received food stamps in the past 12 months among adults45.1%42.0–48.1
Housing insecurity in the past 12 months among adults33.8%30.6–37.0
Lack of reliable transportation in the past 12 months among adults22.7%20.6–24.8
Loneliness among adults39.5%35.0–44.2
Utility services shut-off threat in the past 12 months among adults20.5%18.3–22.7
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate34.9%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–6413.3%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)36.9%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)9.3%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)8.9%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle12.5%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription90.0%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)50.7%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate34.2%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)21.3%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population23.4%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households32.6%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+9.7%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age29.5 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$43,244$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$251,200$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$1,137$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 birth74.0 yr ± 0.5678.9 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 0.56 years of 74.0, 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