ZIP code
91766
in Pomona, CaliforniaPopulation 69,327
48.40/ 100
Ranked #18,426 of 32,066 US ZIPs (bottom 43%)
Ranked #1,174 of 1,719 California ZIPs (bottom 32%)
Ranked #309 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (bottom 17%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
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
48.6%
in the bottom 1.6% nationally
Higher is healthier
ST7thUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Loneliness
43.3%
in the top 1.1% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Expected annual disaster loss
$1
in the top 1.9% nationally
Lower is healthier
ST88thUS98thDefinition & 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 ›Crowded housing
15.4%
in the top 2.1% nationally
Lower is healthier
ST89thUS98thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Lithium in drinking water
9.4 µg/L
in the bottom 2.6% nationally
Lower is healthier
ST3rdUS3rdDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Fine-particle (PM2.5) exceedance
2.5%
in the top 3.2% nationally
Lower is healthier
ST72ndUS97thDefinition & 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 ›Loud transportation noise
3.3%
in the top 3.3% nationally
Lower is healthier
ST79thUS97thDefinition & 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 4.5% nationally
Lower is healthier
ST73rdUS96thDefinition & 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 ›Uninsured (under 65)
18.5%
in the top 5.9% nationally
Lower is healthier
ST89thUS94thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Housing insecurity
23.5%
in the top 5.2% nationally
Lower is healthier
ST88thUS95thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›The read
By the composite measure, ZIP 91766, one of several in Pomona, California sits in the bottom 43% nationally (18,426th) and the bottom 32% of California (1,174th).
What the numbers press hardest on defines much of the story here: modeled colon screening rests in the bottom 1.6% nationally, loneliness sits in the top 1.1% nationally, and expected annual loss registers in the top 1.9% nationally. Crowded housing lands in the top 2.1% nationally, modeled fine-particle resides in the top 3.2% nationally, and modeled loud transportation noise lies in the top 3.3% nationally. Modeled air-toxics cancer risk settles in the top 4.5% nationally, and uninsured stands in the top 5.9% nationally. Modeled housing insecurity is in the top 5.2% nationally. On the encouraging side, lithium in drinking water rests in the bottom 2.6% nationally.
Compared with the ZIPs that surround it, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plain language, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. ZIP 91709, 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 Los Angeles-Long Beach-Anaheim, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Mental Health
healthier than 70%
8%
Healthcare Access
healthier than 89%
5%
About typical
Risk Behavior
healthier than 45%
11%
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Social Need / SDOH
healthier than 11%
16%
Environmental Hazard
healthier than 5%
14%
Preventive Care
healthier than 3%
13%
Disability
healthier than 32%
7%
Lifting this score
Chronic Disease Burden
healthier than 77%
21%
Mental Health
healthier than 65%
8%
Healthcare Access
healthier than 78%
5%
Holding it back
Social Need / SDOH
healthier than 17%
16%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 24%
11%
Disability
healthier than 31%
7%
Climate / Disaster Risk
healthier than 34%
5%
Lifting this score
Healthcare Access
healthier than 63%
5%
About typical
Chronic Disease Burden
healthier than 55%
21%
Environmental Hazard
healthier than 49%
14%
Holding it back
Social Need / SDOH
healthier than 14%
16%
Preventive Care
healthier than 12%
13%
Risk Behavior
healthier than 20%
11%
Mental Health
healthier than 39%
8%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 9%
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
3 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 its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 79.4 ± 1.1 years. The 48 nearest ZIP codes with estimates average 81.5 years — 2.1 years below them.
Ranked #1,663 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 5.1 (bottom 10%); chronic-disease standing 92.5 (top 10%) — 87 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,717 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 79.4 ± 1.1 years.
Ranked #504 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
91709
Californiashares a border
Score 63.31
Closest healthier
91710
Californiashares a border
Score 52.76
Similar health profile
92316
California98% similar profile
Score 45.29
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
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 17.3% | 15.9–18.6 |
| High blood pressure among adults | 28.2% | 26.3–30.0 |
| Cancer (non-skin) or melanoma among adults | 4.1% | 3.8–4.4 |
| Current asthma among adults | 8.9% | 8.1–9.8 |
| Coronary heart disease among adults | 4.9% | 4.5–5.3 |
| Chronic obstructive pulmonary disease among adults | 4.5% | 4.0–4.9 |
| Depression among adults | 18.8% | 17.1–20.6 |
| Diagnosed diabetes among adults | 13.1% | 12.0–14.3 |
| High cholesterol among adults who have ever been screened | 35.3% | 33.2–37.3 |
| Obesity among adults | 28.7% | 26.0–31.4 |
| Stroke among adults | 3.0% | 2.8–3.2 |
| All teeth lost among adults aged >=65 years | 12.2% | 10.2–14.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 18.5% | 16.7–20.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 68.0% | 65.6–70.3 |
| Visits to doctor for routine checkup within the past year among adults | 68.5% | 66.1–70.7 |
| Cholesterol screening among adults | 81.2% | 79.5–82.8 |
| Colorectal cancer screening among adults aged 45–75 years | 48.6% | 45.3–51.7 |
| Visited dentist or dental clinic in the past year among adults | 52.6% | 50.0–55.0 |
| Mammography use among women aged 50-74 years | 73.1% | 68.1–77.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.3% | 13.7–16.9 |
| Current cigarette smoking among adults | 12.2% | 10.9–13.5 |
| No leisure-time physical activity among adults | 31.0% | 28.6–33.4 |
| Short sleep duration among adults | 38.2% | 35.3–41.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.9% | 26.9–30.9 |
| Frequent mental distress among adults | 17.6% | 16.2–19.0 |
| Frequent physical distress among adults | 15.5% | 14.2–16.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.4% | 16.9–19.9 |
| Any disability among adults | 34.7% | 32.4–37.0 |
| Hearing disability among adults | 5.4% | 4.9–5.9 |
| Independent living disability among adults | 9.8% | 8.9–10.6 |
| Mobility disability among adults | 15.4% | 14.2–16.7 |
| Self-care disability among adults | 5.1% | 4.7–5.5 |
| Vision disability among adults | 8.2% | 7.6–8.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 34.5% | 32.1–37.2 |
| Food insecurity in the past 12 months among adults | 29.0% | 26.7–31.4 |
| Received food stamps in the past 12 months among adults | 24.4% | 22.2–26.7 |
| Housing insecurity in the past 12 months among adults | 23.5% | 21.5–25.7 |
| Lack of reliable transportation in the past 12 months among adults | 13.6% | 12.3–14.9 |
| Loneliness among adults | 43.3% | 40.7–46.1 |
| Utility services shut-off threat in the past 12 months among adults | 10.0% | 8.9–11.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 18.6% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 28.9% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 20.3% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.7% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 6.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 93.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 39.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 54.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 15.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 36.6% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 46.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 13.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 35.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $81,991 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $599,000 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,842 | $1,021 ($677–$1,912) n=25,670 | $1,912 ($1,113–$2,923) n=1,461 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 79.4 yr ± 0.56 | 78.9 yr (74.7–82.8) n=31,308 | 80.5 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 79.4, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾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