Skip to main content
ZipVitals

ZIP code

91764

in Ontario, CaliforniaPopulation 56,270

43.95/ 100

Ranked #23,463 of 32,066 US ZIPs (bottom 27%)

Ranked #1,352 of 1,719 California ZIPs (bottom 21%)

Ranked #112 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (bottom 27%)

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

50.2%

in the bottom 2.1% 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 ›

Outer-floodplain exposure

63.4%

in the top 0.7% nationally

Lower is healthier

ST98th
US99th
Definition & source ›

The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.

Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.

Full methodology ›

Crowded housing

16.4%

in the top 1.9% nationally

Lower is healthier

ST91st
US98th
Definition & source ›

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

Full methodology ›

Loud transportation noise

4.0%

in the top 2.2% nationally

Lower is healthier

ST85th
US98th
Definition & source ›

The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.

Full methodology ›

Air-toxics cancer risk

40 per million

in the top 2.5% nationally

Lower is healthier

ST84th
US98th
Definition & 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 ›

Housing-cost burden

48.8%

in the top 3.6% nationally

Lower is healthier

ST87th
US96th
Definition & source ›

The share of households spending 30% or more of their income on housing.

Full methodology ›

Uninsured (under 65)

19.1%

in the top 5.3% nationally

Lower is healthier

ST90th
US95th
Definition & source ›

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

Full methodology ›

Loneliness

40.1%

in the top 4.0% nationally

Lower is healthier

ST84th
US96th
Definition & source ›

The estimated share of adults who report feeling lonely.

Full methodology ›

Fine-particle (PM2.5) exceedance

2.1%

in the top 4.4% nationally

Lower is healthier

ST66th
US96th
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 ›

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 ›

The read

By the composite measure, ZIP 91764, one of several in Ontario, California sits in the bottom 27% nationally (23,463rd) and the bottom 21% of California (1,352nd).

continue reading

The main burdens in the data show plainly and lead the picture: modeled colon screening rests in the bottom 2.1% nationally, outer-floodplain exposure sits in the top 0.7% nationally, and crowded housing registers in the top 1.9% nationally. Modeled loud transportation noise lands in the top 2.2% nationally, modeled air-toxics cancer risk resides in the top 2.5% nationally, and housing-cost burden lies in the top 3.6% nationally. Modeled uninsured settles in the top 5.3% nationally, and loneliness stands in the top 4.0% nationally. Modeled fine-particle is in the top 4.4% nationally, and tree cover rests at the national minimum.

Compared with the ZIPs that surround it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. In plain language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". ZIP 91730, just across the boundary, ranks healthier overall.

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 88%

21%

Healthcare Access

healthier than 90%

5%

About typical

Mental Health

healthier than 52%

8%

Holding it back

Social Need / SDOH

healthier than 10%

16%

Environmental Hazard

in the bottom 0.6%

14%

Preventive Care

healthier than 2%

13%

Risk Behavior

healthier than 37%

11%

Disability

healthier than 32%

7%

Climate / Disaster Risk

healthier than 31%

5%

Lifting this score

Chronic Disease Burden

healthier than 65%

21%

Healthcare Access

healthier than 81%

5%

About typical

Mental Health

healthier than 45%

8%

Holding it back

Social Need / SDOH

healthier than 16%

16%

Environmental Hazard

healthier than 4%

14%

Preventive Care

healthier than 9%

13%

Risk Behavior

healthier than 19%

11%

Disability

healthier than 31%

7%

Climate / Disaster Risk

healthier than 28%

5%

Lifting this score

Chronic Disease Burden

healthier than 84%

21%

Healthcare Access

healthier than 80%

5%

About typical

Mental Health

healthier than 58%

8%

Disability

healthier than 43%

7%

Climate / Disaster Risk

healthier than 40%

5%

Holding it back

Social Need / SDOH

healthier than 26%

16%

Environmental Hazard

in the bottom 0.7%

14%

Preventive Care

healthier than 11%

13%

Risk Behavior

healthier than 30%

11%

“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

One of our published findings lists 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 0.6 (bottom 1%); chronic-disease standing 88.1 — 88 points apart, heavier on the environment than it is on chronic illness.

    Ranked #17,731 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 adults19.2%17.3–21.3
High blood pressure among adults30.0%27.3–32.9
Cancer (non-skin) or melanoma among adults4.2%3.8–4.6
Current asthma among adults9.9%8.8–11.1
Coronary heart disease among adults5.1%4.6–5.7
Chronic obstructive pulmonary disease among adults4.9%4.4–5.4
Depression among adults19.8%17.3–22.5
Diagnosed diabetes among adults12.2%10.8–13.7
High cholesterol among adults who have ever been screened32.3%29.4–35.3
Obesity among adults35.1%30.8–39.6
Stroke among adults3.0%2.8–3.2
All teeth lost among adults aged >=65 years13.4%11.0–16.2
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years19.1%17.0–21.4
Taking medicine to control high blood pressure among adults with high blood pressure65.1%61.8–68.0
Visits to doctor for routine checkup within the past year among adults67.3%63.7–70.6
Cholesterol screening among adults80.9%78.7–82.9
Colorectal cancer screening among adults aged 45–75 years50.2%46.0–54.7
Visited dentist or dental clinic in the past year among adults51.7%48.5–55.0
Mammography use among women aged 50-74 years71.9%65.2–78.3
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults15.8%13.4–18.3
Current cigarette smoking among adults13.2%11.6–15.0
No leisure-time physical activity among adults29.5%26.2–33.0
Short sleep duration among adults39.3%35.1–43.8
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults29.2%26.5–31.9
Frequent mental distress among adults18.9%17.0–20.9
Frequent physical distress among adults15.3%13.8–17.0
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults18.7%16.9–20.7
Any disability among adults33.7%30.5–37.0
Hearing disability among adults5.4%4.8–6.1
Independent living disability among adults10.1%9.1–11.1
Mobility disability among adults14.7%13.2–16.4
Self-care disability among adults5.0%4.6–5.5
Vision disability among adults8.2%7.5–8.9
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults32.2%28.9–35.8
Food insecurity in the past 12 months among adults29.7%26.7–32.6
Received food stamps in the past 12 months among adults26.6%23.9–29.2
Housing insecurity in the past 12 months among adults23.7%21.1–26.3
Lack of reliable transportation in the past 12 months among adults14.5%13.0–16.1
Loneliness among adults40.1%36.3–44.1
Utility services shut-off threat in the past 12 months among adults11.6%10.2–13.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate16.7%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–6413.7%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)24.7%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)19.3%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)6.4%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle4.2%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription94.4%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)48.8%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate45.1%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)16.4%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population27.9%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households42.9%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+8.6%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age31.8 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$81,762$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$565,800$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$2,181$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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled.
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