ZIP code
91784
in Upland, CaliforniaPopulation 26,886
63.92/ 100
Ranked #2,497 of 32,066 US ZIPs (top 7.8%)
Ranked #311 of 1,719 California ZIPs (top 18%)
Ranked #1 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (top 0.7%)
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.
Median household income
$154,349
in the top 3.4% nationally
Higher is healthier
ST89thUS97thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
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 ›Utility shut-off threat
4.3%
in the bottom 5.7% nationally
Lower is healthier
ST13thUS6thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Home broadband subscription
98.2%
in the top 7.2% nationally
Higher is healthier
ST89thUS93rdDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Obesity
27.1%
in the bottom 9.4% nationally
Lower is healthier
ST39thUS9thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Air-toxics cancer risk
38.2 per million
in the top 7.8% nationally
Lower is healthier
ST57thUS92ndDefinition & 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 ›Tooth loss
5.6%
in the bottom 3.5% nationally
Lower is healthier
ST12thUS3rdDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Loud transportation noise
1.7%
in the top 9.2% nationally
Lower is healthier
ST57thUS91stDefinition & 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 ›Cognitive disability
10.7%
in the bottom 8.4% nationally
Lower is healthier
ST11thUS8thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Energy-cost burden
1.8%
in the bottom 9.8% nationally
Lower is healthier
ST33rdUS10thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›The read
By the composite measure, ZIP 91784, one of several in Upland, California sits in the top 7.8% healthiest ZIPs nationally (2,497th) and the top 18% of California (311th).
Where the data leans one way, another reading answers it: household income lies in the top 3.4% nationally, lead in tap water settles at the national minimum, and modeled utility shutoff stands in the bottom 5.7% nationally. Home broadband subscription is in the top 7.2% nationally, modeled obesity rests in the bottom 9.4% nationally, and modeled tooth loss sits in the bottom 3.5% nationally. Modeled cognitive disability registers in the bottom 8.4% nationally. On the other hand, modeled air-toxics cancer risk lands in the top 7.8% nationally, and loud transportation noise resides in the top 9.2% nationally. Modeled tree cover lies in the bottom 11.8% nationally.
Compared with the ZIPs that surround it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. In plain language, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. ZIP 91711, 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.
Lifting this score
Chronic Disease Burden
healthier than 82%
21%
Social Need / SDOH
healthier than 85%
16%
Preventive Care
healthier than 67%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 92%
8%
Disability
healthier than 86%
7%
Healthcare Access
healthier than 67%
5%
About typical
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Environmental Hazard
healthier than 25%
14%
Lifting this score
Social Need / SDOH
healthier than 80%
16%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 89%
11%
Mental Health
healthier than 92%
8%
Disability
healthier than 82%
7%
About typical
Chronic Disease Burden
healthier than 51%
21%
Environmental Hazard
healthier than 56%
14%
Climate / Disaster Risk
healthier than 43%
5%
Healthcare Access
healthier than 45%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 64%
21%
Social Need / SDOH
healthier than 97%
16%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 97%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 78%
5%
About typical
Healthcare Access
healthier than 44%
5%
Holding it back
Environmental Hazard
healthier than 26%
14%
“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.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 82.6 ± 1.3 years. The 48 nearest ZIP codes with estimates average 80.5 years — 2.1 years above them.
Ranked #1,332 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 25.0; chronic-disease standing 81.7 — 57 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,072 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 38.2 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 82.6 ± 1.3 years.
Ranked #1,721 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
91701
Californiashares a border
Score 59.39
Closest healthier
91711
Californiashares a border
Score 65.16
Similar health profile
95070
California100% similar profile
Score 75.30
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 | 26.1% | 23.6–28.7 |
| High blood pressure among adults | 34.3% | 31.2–37.3 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.3–10.0 |
| Current asthma among adults | 9.4% | 8.4–10.5 |
| Coronary heart disease among adults | 6.1% | 5.5–6.8 |
| Chronic obstructive pulmonary disease among adults | 4.7% | 4.2–5.3 |
| Depression among adults | 18.5% | 16.2–20.9 |
| Diagnosed diabetes among adults | 10.9% | 9.6–12.4 |
| High cholesterol among adults who have ever been screened | 38.4% | 35.1–41.7 |
| Obesity among adults | 27.1% | 23.4–31.1 |
| Stroke among adults | 3.1% | 2.9–3.4 |
| All teeth lost among adults aged >=65 years | 5.6% | 4.5–6.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.9% | 5.1–6.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.5% | 72.4–78.3 |
| Visits to doctor for routine checkup within the past year among adults | 75.8% | 72.8–78.5 |
| Cholesterol screening among adults | 90.3% | 89.1–91.4 |
| Colorectal cancer screening among adults aged 45–75 years | 65.3% | 61.3–69.4 |
| Visited dentist or dental clinic in the past year among adults | 69.8% | 66.9–72.6 |
| Mammography use among women aged 50-74 years | 77.2% | 71.3–82.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 12.3–16.7 |
| Current cigarette smoking among adults | 8.1% | 7.0–9.3 |
| No leisure-time physical activity among adults | 18.1% | 15.7–20.6 |
| Short sleep duration among adults | 32.5% | 28.7–36.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.1% | 15.2–19.0 |
| Frequent mental distress among adults | 13.6% | 12.2–15.1 |
| Frequent physical distress among adults | 11.8% | 10.5–13.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.7% | 9.5–11.9 |
| Any disability among adults | 25.3% | 22.6–28.2 |
| Hearing disability among adults | 6.2% | 5.5–6.9 |
| Independent living disability among adults | 6.1% | 5.5–6.8 |
| Mobility disability among adults | 11.8% | 10.4–13.4 |
| Self-care disability among adults | 3.0% | 2.7–3.3 |
| Vision disability among adults | 4.0% | 3.6–4.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.2% | 21.3–27.1 |
| Food insecurity in the past 12 months among adults | 9.7% | 8.5–11.1 |
| Received food stamps in the past 12 months among adults | 8.0% | 6.9–9.2 |
| Housing insecurity in the past 12 months among adults | 8.5% | 7.3–9.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.7% | 5.0–6.4 |
| Loneliness among adults | 32.9% | 29.3–36.6 |
| Utility services shut-off threat in the past 12 months among adults | 4.3% | 3.7–4.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.5% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 2.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 4.9% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 46.8% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.5% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 2.2% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 98.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 27.5% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 85.3% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 1.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 18.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 56.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 21.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 46.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $154,349 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $891,600 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,945 | $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 | 82.6 yr ± 0.67 | 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 0.67 years of 82.6, 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