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ZipVitals

ZIP code

93306

in Bakersfield, CaliforniaPopulation 74,116

39.72/ 100

Ranked #26,941 of 32,066 US ZIPs (bottom 16%)

Ranked #1,512 of 1,719 California ZIPs (bottom 12.1%)

Ranked #19 of 48 Bakersfield-Delano, CA ZIPs (top 40%)

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.

Dry extreme heat

111.6 days/year

in the top 1.0% nationally

Lower is healthier

ST95th
US99th
Definition & source ›

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

Full methodology ›

Subsidized affordable housing

1,005 units

in the top 1.4% nationally

Higher is healthier

ST96th
US99th
Definition & source ›

The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.

Full methodology ›

Fine-particle (PM2.5) exceedance

3.6%

in the top 1.8% nationally

Lower is healthier

ST80th
US98th
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 ›

Uninsured (under 65)

19.7%

in the top 4.8% nationally

Lower is healthier

ST91st
US95th
Definition & source ›

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

Full methodology ›

Park land

35.4%

in the top 3.9% nationally

Higher is healthier

ST88th
US96th
Definition & source ›

The share of this ZIP’s land area that is public parkland.

Full methodology ›

Vision disability

9.3%

in the top 6.6% nationally

Lower is healthier

ST90th
US93rd
Definition & source ›

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

Full methodology ›

Housing insecurity

23.9%

in the top 4.9% nationally

Lower is healthier

ST89th
US95th
Definition & source ›

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

Full methodology ›

Crowded housing

9.0%

in the top 5.5% nationally

Lower is healthier

ST73rd
US95th
Definition & source ›

The share of occupied homes with more than one person per room, the Census definition of crowded housing.

Full methodology ›

Colon-cancer screening

56.1%

in the bottom 6.1% nationally

Higher is healthier

ST26th
US6th
Definition & source ›

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

Full methodology ›

Lack of transportation

15.3%

in the top 6.0% nationally

Lower is healthier

ST90th
US94th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

The read

In its overall standing, ZIP 93306, one of several in Bakersfield, California lands in the bottom 16% nationally (26,941st) and the bottom 12.1% of California (1,512th).

continue reading

Reading across the data, the real pressures come first: modeled extreme heat rests in the top 1.0% nationally, fine-particle registers in the top 1.8% nationally, and uninsured resides in the top 4.8% nationally. Modeled vision disability settles in the top 6.6% nationally, modeled housing insecurity is in the top 4.9% nationally, and crowded housing sits in the top 5.5% nationally. Modeled colon screening lands in the bottom 6.1% nationally, and transportation lies in the top 6.0% nationally. More encouragingly, subsidized affordable housing stands in the top 1.4% nationally, and park land rests in the top 3.9% nationally.

Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. Put simply, 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. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. On the overall standing, ZIP 93220, just across the boundary, ranks healthier.

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

Chronic Disease Burden

healthier than 72%

21%

Healthcare Access

healthier than 94%

5%

Holding it back

Social Need / SDOH

healthier than 8%

16%

Environmental Hazard

healthier than 6%

14%

Preventive Care

healthier than 5%

13%

Risk Behavior

healthier than 23%

11%

Mental Health

healthier than 24%

8%

Disability

healthier than 16%

7%

Climate / Disaster Risk

healthier than 9%

5%

Lifting this score

Healthcare Access

healthier than 90%

5%

Holding it back

Chronic Disease Burden

healthier than 37%

21%

Social Need / SDOH

healthier than 14%

16%

Environmental Hazard

healthier than 27%

14%

Preventive Care

healthier than 17%

13%

Risk Behavior

healthier than 11%

11%

Mental Health

healthier than 14%

8%

Disability

healthier than 15%

7%

Climate / Disaster Risk

healthier than 8%

5%

Lifting this score

Chronic Disease Burden

healthier than 70%

21%

Mental Health

healthier than 61%

8%

Disability

healthier than 67%

7%

Healthcare Access

healthier than 91%

5%

About typical

Social Need / SDOH

healthier than 46%

16%

Risk Behavior

healthier than 50%

11%

Holding it back

Environmental Hazard

healthier than 17%

14%

Preventive Care

healthier than 39%

13%

Climate / Disaster Risk

healthier than 22%

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.

  • Below what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 77.1 ± 0.8 years. A median household income of $69,805 predicts 78.7 years — 1.6 years below.

    Ranked #1,914 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Heavy environment, light chronic burden

    Where the environment and chronic illness point in opposite directions

    Environmental-hazard standing 6.5 (bottom 10%); chronic-disease standing 71.8 — 65 points apart, heavier on the environment than it is on chronic illness.

    Ranked #15,952 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, 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 adults22.0%19.6–24.4
High blood pressure among adults32.4%29.2–35.8
Cancer (non-skin) or melanoma among adults6.0%5.4–6.6
Current asthma among adults10.4%9.2–11.7
Coronary heart disease among adults6.5%5.9–7.1
Chronic obstructive pulmonary disease among adults6.7%6.0–7.3
Depression among adults22.9%19.9–26.1
Diagnosed diabetes among adults13.9%12.3–15.6
High cholesterol among adults who have ever been screened33.5%30.1–37.1
Obesity among adults36.8%31.4–42.5
Stroke among adults3.7%3.4–3.9
All teeth lost among adults aged >=65 years15.4%12.8–18.4
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years19.7%17.4–21.8
Taking medicine to control high blood pressure among adults with high blood pressure68.8%65.6–71.8
Visits to doctor for routine checkup within the past year among adults71.1%67.3–74.7
Cholesterol screening among adults81.1%79.1–83.1
Colorectal cancer screening among adults aged 45–75 years56.1%51.4–60.9
Visited dentist or dental clinic in the past year among adults53.1%49.7–56.5
Mammography use among women aged 50-74 years73.6%66.6–80.0
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults16.2%13.6–19.1
Current cigarette smoking among adults14.6%12.8–16.4
No leisure-time physical activity among adults33.5%29.7–37.5
Short sleep duration among adults38.4%33.5–43.8
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults29.9%27.3–32.6
Frequent mental distress among adults20.1%18.1–22.2
Frequent physical distress among adults16.9%15.2–18.7
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults20.0%18.2–21.9
Any disability among adults38.8%35.1–42.6
Hearing disability among adults6.8%6.1–7.6
Independent living disability among adults11.5%10.4–12.6
Mobility disability among adults18.5%16.7–20.4
Self-care disability among adults5.9%5.5–6.4
Vision disability among adults9.3%8.7–10.0
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults29.4%25.9–32.9
Food insecurity in the past 12 months among adults29.8%26.7–32.5
Received food stamps in the past 12 months among adults28.9%26.2–31.3
Housing insecurity in the past 12 months among adults23.9%21.2–26.3
Lack of reliable transportation in the past 12 months among adults15.3%13.8–16.9
Loneliness among adults37.0%32.6–41.4
Utility services shut-off threat in the past 12 months among adults13.3%11.8–14.8
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate21.4%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–6410.9%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)22.7%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)18.3%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 vehicle7.6%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription91.6%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)38.9%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate63.8%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)9.0%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population19.5%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households39.7%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+13.3%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age33.1 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$69,805$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$320,600$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$1,278$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 birth77.1 yr ± 0.4078.9 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 0.40 years of 77.1, 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