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ZipVitals

ZIP code

92394

in Victorville, CaliforniaPopulation 41,614

44.77/ 100

Ranked #22,651 of 32,066 US ZIPs (bottom 29%)

Ranked #1,324 of 1,719 California ZIPs (bottom 23%)

Ranked #108 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (bottom 29%)

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.

Colon-cancer screening

50.3%

in the bottom 2.2% nationally

Higher is healthier

ST10th
US2nd
Definition & source ›

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

Full methodology ›

Distance to a Superfund site

In this ZIP

at the national minimum

Higher is healthier

ST1st
US1st
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.

Full methodology ›

Loneliness

40.8%

in the top 3.0% nationally

Lower is healthier

ST88th
US97th
Definition & source ›

The estimated share of adults who report feeling lonely.

Full methodology ›

Housing insecurity

24.9%

in the top 4.1% nationally

Lower is healthier

ST91st
US96th
Definition & source ›

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

Full methodology ›

Tree cover

0.00%

at the national minimum

Higher is healthier

ST1st
US1st
Definition & source ›

The share of this ZIP’s land area covered by forest.

Full methodology ›

Food insecurity

30.7%

in the top 5.7% nationally

Lower is healthier

ST90th
US94th
Definition & source ›

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

Full methodology ›

Lack of transportation

15.4%

in the top 5.8% nationally

Lower is healthier

ST91st
US94th
Definition & source ›

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

Full methodology ›

Uninsured (under 65)

17.3%

in the top 7.2% nationally

Lower is healthier

ST87th
US93rd
Definition & source ›

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

Full methodology ›

Dry extreme heat

57.8 days/year

in the top 7.7% nationally

Lower is healthier

ST76th
US92nd
Definition & source ›

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

Full methodology ›

High cholesterol

31.6%

in the bottom 5.7% nationally

Lower is healthier

ST8th
US6th
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

The read

In its overall standing, ZIP 92394, one of several in Victorville, California lands in the bottom 29% nationally (22,651st) and the bottom 23% of California (1,324th).

continue reading

Reading across the data, the real pressures come first: modeled colon screening sits in the bottom 2.2% nationally, distance to a Superfund site lands at the national minimum, and modeled loneliness lies in the top 3.0% nationally. Modeled housing insecurity stands in the top 4.1% nationally, tree cover rests at the national minimum, and food insecurity registers in the top 5.7% nationally. Modeled transportation resides in the top 5.8% nationally, and uninsured settles in the top 7.2% nationally. Modeled extreme heat is in the top 7.7% nationally. More encouragingly, modeled high cholesterol sits in the bottom 5.7% nationally.

Against the wider neighborhood, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. Put simply, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. On the overall standing, ZIP 92307, 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 Riverside-San Bernardino-Ontario, 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 83%

21%

Environmental Hazard

healthier than 66%

14%

Healthcare Access

healthier than 78%

5%

About typical

Mental Health

healthier than 41%

8%

Holding it back

Social Need / SDOH

healthier than 6%

16%

Preventive Care

healthier than 2%

13%

Risk Behavior

healthier than 20%

11%

Disability

healthier than 29%

7%

Climate / Disaster Risk

healthier than 38%

5%

Lifting this score

Environmental Hazard

healthier than 81%

14%

About typical

Chronic Disease Burden

healthier than 53%

21%

Healthcare Access

healthier than 57%

5%

Holding it back

Social Need / SDOH

healthier than 10%

16%

Preventive Care

healthier than 9%

13%

Risk Behavior

healthier than 9%

11%

Mental Health

healthier than 31%

8%

Disability

healthier than 28%

7%

Climate / Disaster Risk

healthier than 32%

5%

Lifting this score

Chronic Disease Burden

healthier than 69%

21%

Healthcare Access

healthier than 61%

5%

About typical

Environmental Hazard

healthier than 45%

14%

Climate / Disaster Risk

healthier than 53%

5%

Holding it back

Social Need / SDOH

healthier than 12%

16%

Preventive Care

healthier than 11%

13%

Risk Behavior

healthier than 8%

11%

Mental Health

healthier than 37%

8%

Disability

healthier than 37%

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 75.2 ± 0.9 years. A median household income of $78,466 predicts 79.1 years — 3.9 years below.

    Ranked #5,020 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 75.2 ± 0.9 years. The 48 nearest ZIP codes with estimates average 78.2 years — 3.0 years below them.

    Ranked #2,386 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 adults19.7%17.7–21.8
High blood pressure among adults32.2%29.3–35.0
Cancer (non-skin) or melanoma among adults4.1%3.7–4.5
Current asthma among adults10.6%9.4–11.8
Coronary heart disease among adults5.2%4.7–5.8
Chronic obstructive pulmonary disease among adults5.5%4.9–6.0
Depression among adults20.1%17.6–22.7
Diagnosed diabetes among adults12.4%10.9–13.8
High cholesterol among adults who have ever been screened31.6%28.6–34.5
Obesity among adults37.0%32.6–41.5
Stroke among adults3.3%3.0–3.5
All teeth lost among adults aged >=65 years15.2%12.6–18.3
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years17.3%15.2–19.5
Taking medicine to control high blood pressure among adults with high blood pressure64.7%61.5–67.8
Visits to doctor for routine checkup within the past year among adults67.6%64.1–70.9
Cholesterol screening among adults80.4%78.3–82.4
Colorectal cancer screening among adults aged 45–75 years50.3%46.1–54.9
Visited dentist or dental clinic in the past year among adults48.5%45.3–51.8
Mammography use among women aged 50-74 years71.7%65.0–77.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults16.1%13.8–18.8
Current cigarette smoking among adults15.5%13.6–17.4
No leisure-time physical activity among adults29.1%25.7–32.7
Short sleep duration among adults41.9%37.6–46.5
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults29.4%26.7–32.1
Frequent mental distress among adults20.0%17.9–22.0
Frequent physical distress among adults15.4%13.8–17.0
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults19.3%17.4–21.3
Any disability among adults34.2%30.7–37.6
Hearing disability among adults5.2%4.6–5.8
Independent living disability among adults10.6%9.6–11.7
Mobility disability among adults14.9%13.3–16.6
Self-care disability among adults5.3%4.9–5.8
Vision disability among adults8.1%7.4–8.8
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults33.9%30.5–37.4
Food insecurity in the past 12 months among adults30.7%27.6–33.9
Received food stamps in the past 12 months among adults29.5%26.8–32.5
Housing insecurity in the past 12 months among adults24.9%22.2–27.6
Lack of reliable transportation in the past 12 months among adults15.4%13.9–17.1
Loneliness among adults40.8%36.9–44.7
Utility services shut-off threat in the past 12 months among adults13.2%11.7–14.9
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate15.4%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–6410.6%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)22.6%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)13.7%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)7.4%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle4.0%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription94.3%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)41.5%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate63.9%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)6.6%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population20.2%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households35.2%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+8.2%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age32.8 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$78,466$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$385,400$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$1,612$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 birth75.2 yr ± 0.4678.9 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 0.46 years of 75.2, 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