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ZipVitals

ZIP code

92220

in Banning, CaliforniaPopulation 33,755

45.51/ 100

Ranked #21,860 of 32,066 US ZIPs (bottom 32%)

Ranked #1,292 of 1,719 California ZIPs (bottom 25%)

Ranked #103 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (bottom 33%)

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.

Natural-disaster risk

in the top 0.6% nationally

Lower is healthier

ST98th
US99th
Definition & source ›

This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.

Full methodology ›

Expected annual disaster loss

$0

in the top 2.2% nationally

Lower is healthier

ST86th
US98th
Definition & source ›

FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.

Full methodology ›

Park land

30.9%

in the top 4.6% nationally

Higher is healthier

ST86th
US95th
Definition & source ›

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

Full methodology ›

Fair or poor health

29.9%

in the top 8.5% nationally

Lower is healthier

ST85th
US92nd
Definition & source ›

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

Full methodology ›

Binge drinking

12.0%

in the bottom 6.8% nationally

Lower is healthier

ST4th
US7th
Definition & source ›

The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.

Full methodology ›

Mobility disability

22.2%

in the top 9.0% nationally

Lower is healthier

ST93rd
US91st
Definition & source ›

The estimated share of adults with serious difficulty walking or climbing stairs.

Full methodology ›

Crowded housing

6.9%

in the top 8.8% nationally

Lower is healthier

ST63rd
US91st
Definition & source ›

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

Full methodology ›

Housing-cost burden

41.1%

in the top 8.8% nationally

Lower is healthier

ST64th
US91st
Definition & source ›

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

Full methodology ›

Fiber broadband

77.7%

in the top 25% nationally

Higher is healthier

ST92nd
US75th
Definition & source ›

The share of homes where fiber-optic internet service is available.

Full methodology ›

The read

In its overall standing, Banning, California (ZIP 92220) lands in the bottom 32% nationally (21,860th) and the bottom 25% of California (1,292nd).

continue reading

Reading across the data, the real pressures come first: modeled disaster risk is in the top 0.6% nationally, expected annual loss sits in the top 2.2% nationally, and fair or poor health lands in the top 8.5% nationally. Modeled mobility disability lies in the top 9.0% nationally, crowded housing stands in the top 8.8% nationally, and housing-cost burden rests in the top 8.8% nationally. Modeled housing insecurity registers in the top 10.5% nationally. More encouragingly, park land resides in the top 4.6% nationally, and modeled binge drinking settles in the bottom 6.8% nationally. Subsidized affordable housing is in the top 10.5% nationally.

Against the wider neighborhood, expected annual loss runs far higher than the surrounding ZIPs on this measure. Put simply, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. 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 92223, 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

Environmental Hazard

healthier than 79%

14%

Climate / Disaster Risk

healthier than 63%

5%

Healthcare Access

healthier than 94%

5%

About typical

Risk Behavior

healthier than 55%

11%

Mental Health

healthier than 48%

8%

Holding it back

Chronic Disease Burden

healthier than 31%

21%

Social Need / SDOH

healthier than 14%

16%

Preventive Care

healthier than 23%

13%

Disability

healthier than 13%

7%

Lifting this score

Environmental Hazard

healthier than 87%

14%

Healthcare Access

healthier than 90%

5%

About typical

Preventive Care

healthier than 46%

13%

Mental Health

healthier than 40%

8%

Climate / Disaster Risk

healthier than 47%

5%

Holding it back

Chronic Disease Burden

healthier than 12%

21%

Social Need / SDOH

healthier than 21%

16%

Risk Behavior

healthier than 31%

11%

Disability

healthier than 13%

7%

Lifting this score

Environmental Hazard

healthier than 61%

14%

Preventive Care

healthier than 63%

13%

Climate / Disaster Risk

healthier than 81%

5%

Healthcare Access

healthier than 88%

5%

About typical

Risk Behavior

healthier than 49%

11%

Mental Health

healthier than 50%

8%

Holding it back

Chronic Disease Burden

healthier than 19%

21%

Social Need / SDOH

healthier than 36%

16%

Disability

healthier than 15%

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

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.

  • Below what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 76.8 ± 1.3 years. A median household income of $62,599 predicts 78.2 years — 1.4 years below.

    Ranked #1,720 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, 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 adults31.2%28.8–33.8
High blood pressure among adults40.7%37.8–43.7
Cancer (non-skin) or melanoma among adults9.0%8.1–9.8
Current asthma among adults10.1%9.1–11.3
Coronary heart disease among adults8.9%8.0–9.8
Chronic obstructive pulmonary disease among adults8.1%7.1–9.2
Depression among adults22.2%19.8–24.9
Diagnosed diabetes among adults15.6%13.9–17.4
High cholesterol among adults who have ever been screened41.3%38.4–44.4
Obesity among adults38.1%34.2–42.4
Stroke among adults4.7%4.3–5.2
All teeth lost among adults aged >=65 years15.6%12.7–18.7
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years15.1%13.1–17.1
Taking medicine to control high blood pressure among adults with high blood pressure76.0%73.4–78.4
Visits to doctor for routine checkup within the past year among adults74.8%72.0–77.5
Cholesterol screening among adults85.3%83.7–86.9
Colorectal cancer screening among adults aged 45–75 years62.0%57.7–66.2
Visited dentist or dental clinic in the past year among adults56.8%53.6–60.0
Mammography use among women aged 50-74 years78.1%72.1–83.3
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults12.0%10.3–13.9
Current cigarette smoking among adults13.7%12.0–15.6
No leisure-time physical activity among adults32.5%29.1–36.3
Short sleep duration among adults38.5%34.4–42.7
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults29.9%27.1–32.9
Frequent mental distress among adults17.6%15.9–19.4
Frequent physical distress among adults17.8%16.1–19.8
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults17.8%16.0–19.7
Any disability among adults42.4%39.0–45.9
Hearing disability among adults9.3%8.3–10.4
Independent living disability among adults11.6%10.4–12.9
Mobility disability among adults22.2%20.0–24.7
Self-care disability among adults5.7%5.2–6.3
Vision disability among adults8.2%7.5–9.0
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults28.3%25.3–31.6
Food insecurity in the past 12 months among adults24.1%21.6–26.9
Received food stamps in the past 12 months among adults22.0%19.8–24.6
Housing insecurity in the past 12 months among adults19.0%17.0–21.2
Lack of reliable transportation in the past 12 months among adults12.0%10.8–13.4
Loneliness among adults36.8%33.3–40.6
Utility services shut-off threat in the past 12 months among adults10.0%8.8–11.3
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate18.7%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–6412.2%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)17.4%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)16.1%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)8.3%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle7.5%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription88.0%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)41.1%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate70.9%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)6.9%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population17.8%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households51.4%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+26.8%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age41.6 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$62,599$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$354,600$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$1,629$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 birth76.8 yr ± 0.6778.9 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 0.67 years of 76.8, 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